Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.

We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.

Responsibilities

• Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
• Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
• Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
• Collaborate with engineering and product teams to support the design of secure product features
• Actively contribute to a culture of security awareness through knowledge sharing and peer learning

Requirements

• 4+ years of work experience in Application Security or a related role
• Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
• Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
• Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
• Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
• Knowledge of Python or scripting languages to automate tasks and build tooling
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Experience with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Experience with securing distributed systems in AWS and cloud environments
• Experience with web application security reviews
• Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
• Experience submitting to bug bounty or responsible disclosure programs
• Published AI security research or contributions to AI security frameworks

Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About the Role

fal is seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams. You will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Key Responsibilities

• Resolve technical issues and provide advanced support directly to customers, including support for fal’s platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal

At fal, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

Why this role exists:

We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform.

This role focuses on applied Generative AI: internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate.

This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only.

What you’ll drive:

Technical Ownership

• Own LLM-based systems from design to production support.
• Design architectures for Generative AI systems (RAG, agents, tool/context serving).
• Make clear trade-offs between quality, latency, cost, and complexity.
• Set engineering standards for building and operating AI systems in production.
• Act as a technical reference point for applied GenAI.

Hands-on AI Engineering

• Build and maintain production LLM-powered systems.
• Develop chatbots and AI assistants with predictable behavior.
• Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).
• Implement agent-style workflows with tool/function calling.
• Build and integrate MCP servers or similar context/tool-serving components.
• Integrate AI systems with backend services and ML infrastructure.

Production & Reliability

• Design evaluation frameworks for LLM outputs.
• Monitor LLM behavior, system health, and costs in production.
• Address performance, scalability, and operational issues.
• Handle production incidents and contribute to long-term fixes.
• Design systems with failure modes, fallbacks, and graceful degradation.

What makes you a GR8 fit

Must-have

• Strong software engineering background.
• Proven experience building LLM-based systems in production.
• Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
• Experience with context or tool-serving systems (MCP or similar).
• Experience integrating AI into real-time production products.
• Understanding of performance, scalability, and cost trade-offs.
• Cloud experience (preferably AWS).
• Strong engineering fundamentals (testing, debugging, reviews, observability).

Nice-to-have

• Multi-agent or workflow-based systems.
• Fine-tuning or adapting open-source LLMs.
• ML platforms / MLOps background.
• Experience operating latency- or cost-sensitive systems.
• Production incident ownership in AI systems.

Tech Stack:

• Languages: Python, SQL.
• LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.
• Frameworks: LangChain, LangGraph, Pydantic, Langfuse.
• RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.
• Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).
• DevOps: Docker, Git, CI/CD.

POSITION SUMMARY

CIQ is seeking a highly experienced Senior or Principal AI Engineer to own and drive AI/ML innovation across our product portfolio. This role sits at the intersection of AI engineering and systems performance - the right candidate brings deep expertise in model inference optimization, training workflows, and production AI deployment, combined with a strong instinct for performance at the systems level.

In this role, you will be the AI engineering standard-bearer at CIQ. You will design and build turnkey AI workload examples - both internal reference pipelines and customer-facing solutions - ensuring that CIQ’s AI story is always compelling, practical, and demonstrably best-in-class. You will integrate deeply with Fuzzball, CIQ’s cloud-native computing platform, running AI workloads end-to-end through it and helping customers do the same.

KEY RESPONSIBILITIES

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

AI Inference Optimization

• Design, implement, and tune inference pipelines for large language models and other AI workloads, targeting maximum throughput and minimum latency.
• Apply state-of-the-art optimization techniques: quantization (INT4/INT8/FP8), model pruning, speculative decoding, continuous batching, and kernel fusion.
• Optimize inference-serving stacks, including vLLM, TensorRT-LLM, ONNX Runtime, and similar frameworks, for production deployment on CIQ’s OS platform.
• Profile and tune GPU/accelerator utilization across the full inference stack, from model weights and memory bandwidth to CUDA kernels and driver overhead.
• Establish inference performance baselines and regression detection across CIQ’s AI-focused solutions.

AI Training Workflows

• Design and optimize distributed training pipelines for large-scale models, including data, model, tensor, and pipeline parallelism strategies.
• Tune training efficiency through mixed-precision training, gradient checkpointing, activation recomputation, and optimizer-level improvements.
• Benchmark training throughput and scaling efficiency across multi-GPU and multi-node configurations on CIQ’s infrastructure.
• Collaborate with infrastructure and performance teams to resolve training bottlenecks at the network (RDMA/InfiniBand), storage, and OS layers.
• Stay current on frontier model architectures and training techniques, including MoE models, RLHF pipelines, and emerging post-training methods.

Turn-Key AI Examples & Reference Workloads

• Build and maintain a library of turn-key AI workload examples that run on CIQ’s platform, covering inference serving, fine-tuning, batch processing, RAG pipelines, and agentic workflows.
• Develop both internal reference pipelines for CI/testing and customer-facing examples designed for immediate productivity on CIQ’s OS and Fuzzball.
• Package workloads using containers to deliver portable, reproducible AI environments across HPC and cloud-native settings.
• Create compelling, well-documented demos and reference architectures that communicate CIQ’s AI capabilities to technical and business audiences alike.
• Partner with product and customer success teams to translate real-world AI use cases into reusable, production-quality examples.

AI Engineering & Tooling

• Build and maintain AI-powered engineering tooling - leveraging LLM-based agents, automated analysis pipelines, and AI-assisted code generation to accelerate the broader engineering organization.
• Champion an AI-first development culture: identify opportunities where AI tooling can reduce toil, surface insights faster, and improve software quality across CIQ’s products.
• Evaluate and integrate emerging AI frameworks, libraries, and hardware as they become relevant to CIQ’s customers and product roadmap.
• Contribute to open-source AI tooling and frameworks where relevant, reinforcing CIQ’s technical reputation in the community.

Fuzzball Integration

• Develop deep expertise in CIQ’s Fuzzball platform, its architecture, scheduling model, and workload execution environment.
• Integrate AI training, inference, and pipeline workloads into Fuzzball-based CI/CD and production pipelines.
• Contribute to Fuzzball’s AI workload story: ensure the platform is a first-class environment for running AI workloads efficiently and at scale.
• Help characterize and improve Fuzzball’s performance for AI-specific access patterns and resource demands.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio, including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer, and Warewulf, and understand how AI workloads interact with each layer.
• Collaborate closely with the Performance Engineering team to ensure AI workloads benefit from and contribute to CIQ’s systems-level optimization work.
• Partner with product and customer success teams to translate real-world AI pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly, from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ’s reputation as an AI-forward infrastructure company.

NEEDED TO SUCCEED

Successful candidates will have: 

• Deep, hands-on expertise in LLM inference optimization: including serving frameworks (vLLM, TensorRT-LLM, ONNX Runtime), quantization techniques, and GPU memory management.
• Strong background in distributed AI training, including frameworks such as PyTorch FSDP, DeepSpeed, Megatron-LM, or JAX/XLA.
• Proven experience building production AI pipelines and packaging AI environments for reproducible, portable deployment (containers, Apptainer/Singularity, or equivalent).
• Fluency with GPU/accelerator profiling tools: NVIDIA Nsight, PyTorch Profiler, CUDA performance analysis, and related tooling.
• Familiarity with HPC environments: job schedulers (Slurm, PBS), parallel filesystems, RDMA/InfiniBand, and MPI,  and the intersection of HPC with modern AI workloads.
• Experience integrating AI workloads into CI/CD pipelines and building automated testing and benchmarking frameworks.
• Comfort using and building with LLM-based tools and agentic frameworks to accelerate engineering work.
• Excellent analytical skills and able to form hypotheses, design experiments, and draw actionable conclusions from complex profiling data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset, combined with the confidence to champion AI engineering as a first-class concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Machine Learning, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 10+ years of industry experience in AI/ML engineering, systems software, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed AI performance improvements at scale.
• Experience working in or with open-source AI ecosystems (PyTorch, Triton, ONNX, Hugging Face, etc.) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

CIQ is seeking a highly experienced Senior or Principal Performance Engineer to own and drive system-level and application-level performance across our product portfolio. This is an AI-first role, both in methodology and focus area,  and the right candidate will bring deep expertise in operating system internals, kernel and userspace performance, and the performance demands of modern AI workloads, HPC environments, general-purpose computing, and production service workloads.

In this role, you will be the standard-bearer for performance at CIQ. Our performance-focused solutions must always be the fastest in the industry, and you will be responsible for ensuring that remains true. You will be intimately involved with Fuzzball, CIQ's cloud-native computing platform, learning its architecture end-to-end and integrating workloads - both user-facing and CI/testing pipelines - directly through it.

Position Summary

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

Benchmarking & Profiling

• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers.
• Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities.
• Establish and own performance baselines across CIQ's product and solutions portfolio.
• Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification.

Regression Detection & Resolution

• Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball.
• Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor.
• Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications.

Proactive Performance Engineering

• Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack.
• Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations.
• Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads.
• Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization.
• Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.).
• Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform.
• Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements.

AI-First Approach

• Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights.
• Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost.
• Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design.

Fuzzball Integration

• Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model.
• Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines.
• Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each.
• Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem.
• Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly - from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.

NEEDED TO SUCCEED

Successful candidates will have:

• A deep, principled understanding of operating system internals -  Linux kernel scheduler, memory subsystem, I/O stack, and networking.
• Proven experience identifying and resolving performance regressions across kernel and user space in production environments.
• Hands-on expertise with profiling and tracing tools: perf, eBPF/bpftrace, Flamegraphs, VTune, Nsight, strace, ftrace, and similar.
• Strong background in AI/ML workload performance - including inference optimization (TensorRT, ONNX, vLLM, or similar), training efficiency, and GPU/accelerator utilization.
• Experience with HPC workloads: MPI, OpenMP, parallel filesystems, RDMA/InfiniBand, and job schedulers (Slurm, PBS, etc.).
• Familiarity with modern AI-first development workflows and comfort using LLM-based tools to accelerate engineering work.
• Experience building automated performance testing and regression detection pipelines in CI/CD environments.
• Excellent analytical skills -  able to form hypotheses, design experiments, and draw actionable conclusions from complex data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset -  combined with the confidence to champion performance as a first-class engineering concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 15+ years of industry experience in systems performance engineering, OS development, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed performance improvements at scale.
• Experience working in or with open-source ecosystems (Linux kernel contributions, upstream community engagement) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

What You'll Be Doing:

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
• Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
• Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
• Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
• Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
• Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
• Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
• Experience working in a fast-paced, cross-functional environment
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
• Experience working directly with customers or stakeholders to translate business needs into technical solutions
• Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
• Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
• Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
• Proven track record of ownership — driving issues through to resolution in production systems

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.

About the Role

Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.

You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.

What You’ll Do

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools.
• Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform.
• Implement TDX APIs with customer and partner solutions.
• Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform.
• Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality.
• Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices.
• Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions.
• Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

What You Bring

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured).
• Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats.
• Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake).
• Solid understanding of data modeling, ETL/ELT best practices, and data quality management.
• Proven ability to troubleshoot complex data and integration issues across distributed systems.
• Comfort working in a remote-first, highly collaborative environment with distributed teams.
• Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments.
• Familiarity with event-driven architectures, message queues, or streaming technologies.
• Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines.
• Knowledgeable in using AI to build and deploy data solutions.
• Prior experience mentoring or leading technical initiatives across teams.

Founding CTO at Redbolt.ai 

Redbolt AI is the security and reliability layer for in-production AI systems. It’s the commercial open core evolution of NVIDIA's open source red-teaming framework, garak, and NeMo Guardrails. Redbolt builds on trusted open source technology and adds the security layer that empowers users to deploy AI at scale.

We're looking for a Founding CTO to build Redbolt into an era-defining AI technology. As the founding CTO, you’ll define initial product vision, build commercial features and an engineering team to accelerate product velocity, get closer to customers, and deepen open-source contributions to NVIDIA's Garak. 

The opportunity

The market for AI security is early but moving fast. The risks of unguarded AI systems are well-known but the infrastructure to protect against these risks don’t really exist yet.

Redbolt starts with a meaningful foundation: NVIDIA's open-source tools already have community traction and credibility. Your job is to turn that into a product and company that enterprises depend on.

If you've been looking for the right moment to build something that matters, this is it.

The role

As the technical founder, you will: 

• Defining the vision. What should this company become? What's the product roadmap that turns open-source adoption into a billion-dollar enterprise business? You'll own that strategy.
• Building the foundation. You're writing code, shipping product, and making architectural decisions that will compound for years.
• Hiring the team. You'll recruit and lead the engineers who build Redbolt alongside you.
• Partner with a CEO. Once there's traction, OCV will lead a search for a co-founder CEO to partner with you - someone to own go-to-market, fundraising, and business operations while you own product and engineering. You'll be deeply involved in selecting that person.

About you 

You're a deep technical expert in LLM security, ML engineering, or adjacent infrastructure. You understand how these systems fail and how to prevent them.

You've operated at a high level technically: staff/principal engineer, engineering lead, or founded something yourself.

You're entrepreneurial. You've been waiting for the right opportunity to build something from the ground up, with real support and resources behind you.

You have conviction about the AI security space. You've thought about what needs to exist and have opinions about how to build it.

About Open Core Ventures

"As software has eaten the world, open source is eating software." — Peter Levine

Commercial open source software companies have captured hundreds of billions in enterprise value—yet this represents only a fraction of the trillions delivered by OSS today. We're still in the early innings.

GitLab co-founder and executive chair Sid Sijbrandij started Open Core Ventures (OCV) to accelerate this opportunity. We start companies around promising open source projects—the same approach that took GitLab from OSS project to IPO in seven years.

We recruit founders and help them reach escape velocity. We’ve started 30+ companies around open source projects, including Fleet, FlowFuse, and Mermaid Chart. 

You can read more about our approach in our public handbook.

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.

Responsibilities

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.
• Automate recurring data analysis tasks and integrate models into engineering processes.
• Collaborate with design and software teams to embed AI-driven insights into products.
• Create dashboards and visualization tools for reporting and decision-making.
• Document code, models, and processes for transparency and reproducibility.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong skills in data manipulation (Pandas, NumPy, SQL).
• Experience with workflow orchestration (Airflow, Spark, or similar).
• 3–5 years of experience in data engineering or applied AI.
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.

Preferred / Plus

• Familiarity with semiconductor design, verification, or manufacturing datasets.
• Understanding of statistical modeling and predictive maintenance.
• Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
• Knowledge of MLOps principles (deployment, monitoring, CI/CD).

Job Description & Responsibilities

The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.

• Define and drive the BI strategy, ensuring alignment with business objectives.
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
• Design, implement, and optimize scalable data models and architectures for reporting and analytics.
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
• Establish and enforce BI best practices, including data governance, security, and documentation.
• Monitor and improve query performance, data processing efficiency, and system scalability.
• Ensure compliance with data privacy and security regulations.
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
• Facilitate training and enablement programs to enhance BI adoption across the organization.

Experience, Qualification,  & Skills

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 6+ years of experience in business intelligence, data engineering, or a similar role.
• Expert-level proficiency in SQL, data modeling, and ETL development.
• Extensive experience with BI tools such as Power BI, Tableau, or Looker.
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
• Strong programming skills in Python, R, or other scripting languages for data automation.
• Proven ability to lead teams and manage large-scale BI initiatives.
• Excellent problem-solving, strategic thinking, and stakeholder communication skills.
• Experience with machine learning, AI-driven analytics, or predictive modeling.
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
• Knowledge of version control (Git) and CI/CD for data workflows.
• Background in Agile methodologies and project management.

Leadership & Soft Skills:

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees 
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment   
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

What you will do: 

• 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role
• Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code
• Experience with REST APIs, webhooks, and common integration patterns
• Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools
• Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders
• Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously
• Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology

• Prior experience at an AI/ML or developer tools company
• Familiarity with LLMs, vector databases, or ML model deployment
• Experience with enterprise software environments (SSO, VPCs, data residency requirements)
• Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services)

Why This Role

• Direct influence on product direction — your customer insights will shape what we build
• High ownership from day one with a clear path to senior or team lead roles
• Competitive salary, equity, and benefits
• Collaborative, low-ego team that values craft and customer obsession

• We provide an opportunity to not only increase your knowledge, but ours as well.
  • We strongly believe is sustainable growth. As a startup, we put our customers and employees first.
• Our company vision allows for a lot of creative exploration.
  • What does a future where people consume all information through audio look like? How do we create this future?
• We have life changing product market fit.
  • Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product.
• We move very quickly
  • We run many experiments and ship product updates multiple times every week.
• We are focused on customers
  • We start from concrete user problems and build systems that solve them
• We value deep thinking
  • We get to the right answers through careful thought and experimentation and love digging deeper into the details.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the role:

We’re looking for a Senior Machine Learning Engineer to accelerate our AI research-to-production pipeline. You’ll build and improve the infrastructure that enables our research team to rapidly deploy and safely test new models, while helping ensure our production inference systems remain efficient, scalable, and reliable. You’ll identify gaps and opportunities in our ML infrastructure, scope solutions to ambiguous technical problems, and help set the technical direction for how we bridge research innovation and production reliability. This role requires a strong backend engineering background in distributed systems and containerization, and a track record of independently driving projects from concept to delivery. This is a cross-functional role that requires close collaboration with both research teams developing models and engineering teams supporting the broader platform.

What You’ll Do:

• Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production 
• Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
• Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
• Develop and maintain user-facing APIs that interact with our ML systems
• Implement comprehensive observability solutions to monitor model performance and system health
• Troubleshoot and lead resolution of complex production issues across distributed systems, driving root-cause analysis and implementing preventive measures
• Set the direction for and continuously improve our MLOps practices, identifying the highest-impact opportunities to reduce friction between research and production.
• Collaborate closely with research and engineering teams to align on technical direction, and help onboard and mentor engineers on ML infrastructure best practices.

What You’ll Need:

• Strong backend engineering experience with Python
• Experience building and operating distributed, containerized applications, preferably on AWS 
• Proficiency implementing observability solutions (monitoring, logging, alerting, tracing) for production systems
• Ability to design and implement resilient, scalable architectures
• Track record of independently scoping and delivering complex technical projects from problem identification through production deployment
• Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving

An ideal candidate should also have some of the following:

• MLOps experience, including familiarity with PyTorch and Kubernetes
• Experience working in fast-paced environments where you owned technical direction for an area and drove projects with minimal oversight.
• Experience collaborating with remote, globally distributed teams
• Comfort working across the entire ML lifecycle from model serving to API development
• Experience in audio-related domains (ASR, TTS, or other domains involving audio processing)
• Experience with other cloud providers
• Familiarity with Bazel and monorepos
• Experience with alternative ML inference frameworks beyond PyTorch
• Experience with other programming languages
• Experience mentoring junior engineers or onboarding teammates onto complex systems

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $195,000 - $225,000

Position Summary

As an Effectual Cloud Migration Engineer, you will be an important member of a migration team assisting clients who are migrating from on-premises infrastructure or VMC to AWS cloud native services. You will work with a technical leader to implement, manage, and migrate workloads to AWS cloud environments, while maintaining optimal migration strategies for diverse application portfolios. The engineer will utilize AWS-native services, containerization, serverless architectures, and advanced analytics capabilities to modernize and migrate applications, ensuring seamless transitions that align with best practices and the Well-Architected Framework. This position reports to Sr Manager, Migrations and Modernizations.

A Glimpse into the Daily Routine of a Cloud Migration Engineer

As an Effectual Cloud Migration Engineer, you will be responsible for planning, executing, and optimizing cloud migration projects on the AWS platform. You will leverage your expertise in AWS migration tools and methodologies to ensure successful and efficient migrations for our clients. Additionally, you will provide technical leadership and mentorship to customer engineers as they begin to adopt AWS services.

Responsibilities

• Utilize AWS migration tools and methodologies to assess, plan, and execute migrations of workloads to the AWS platform.
• Design, deploy, and maintain scalable and highly available cloud infrastructure solutions.
• Collaborate with cross-functional teams to ensure seamless application migrations across compute, storage, networking, and security.

• Utilize AWS services such as AWS Migration Hub (MGN) or Database Migration Service (DMS) to facilitate migrations.
• Implement and manage cloud services and resources, such as virtual machines, containers, storage, networking, and serverless computing
• Develop and maintain automation scripts and infrastructure-as-code (IaC) templates to streamline the provisioning and configuration of cloud resources
• Monitor and optimize cloud infrastructure performance, ensuring efficient resource utilization and cost optimization
• Provide technical guidance and expertise to client cloud engineers and support teams as they adopt AWS
• Collaborate with security teams to implement and enforce cloud security measures, including access controls, encryption, and threat detection.
• Support incident response and troubleshooting of cloud infrastructure-related issues, ensuring minimal service disruptions

Qualifications

• 5+ years of experience as a technical specialist
• 4-7 years of experience developing AWS cloud infrastructure
• 2+ years Hands-on experience with AWS migration services such as AWS Migration Hub (MGN), Database Migration Service (DMS), and AWS Cloud Migration Services.
• Solid experience planning and executing cloud migration projects, preferably on the AWS platform, including Mobilize (wave planning) and Migrate phases of an AWS Migration.
• Proficient in developing Infrastructure-as-Code (e.g.: Terraform / AWS CloudFormation)
• Work with multiple clients, in parallel
• Experience with AWS including core services and infrastructure components
• Proficiency in scripting and automation using languages like Python, PowerShell, or Bash
• 2+ years of experience with infrastructure-as-code tools such as Terraform or CloudFormation

Required Certifications

• AWS Certified Cloud Practitioner

Optional Certifications

• AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking - Specialty
• • AWS Certified SysOps Administrator - Associate
  • AWS Certified Security - Specialty

Nice to have

• Experience with log management, monitoring, and data analysis
• Familiarity with virtualization, containerization, and orchestration technologies (e.g., Docker, Kubernetes)
• Knowledge of networking concepts and protocols, including virtual private clouds (VPCs), subnets, load balancers, and DNS
• Understanding of cloud security principles and best practices, including access controls, encryption, and security groups
• Experience in data and database management, including data integration, ETL processes, SQL query optimization, and database administration
• Familiarity with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra)
• Strong problem-solving and troubleshooting skills, with the ability to diagnose and resolve cloud infrastructure and data-related issues
• Effective communication and collaboration skills to work effectively with cross-functional teams and stakeholders in English language
• Continuous learning mindset to stay updated with emerging cloud technologies and industry trends
• Knowledge of Agile / Scrum SDLC methodologies
• Ability to work Eastern Standard Time Zone schedule but support customers in different regions
• AWS Solution Architect Associate Certification
• Experience in VMware hosted Virtual Machine Infrastructure
• Cloud Cost Optimization (Right-Sizing, Cost Management Tools)

Location: Remote

Company Offered Benefits

Full-time employees are eligible to participate in our employee benefit programs:

• Medical, dental, and vision health insurances,
• Short-term disability, long-term disability, and life insurance,
• 401 (k) with Company match
• Paid time off (PTO) (120 hours PTO that accrue over one year)
• Paid time off for major holidays (14 days per year)
• These and any other employee benefit offerings are subject to management’s discretion and may change at any time. 

Physical Demands and Work Environment  

The work is generally performed in an office environment.  Physical demands include sitting, keyboarding, verbal communication, and written communication.  Employees are occasionally required to stand, walk, reach with hands and arms, climb or balance, and stoop, kneel, crouch, or crawl. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. 

Salary Range for this position: $125,000-$140,000

CA ID: IT10000642B 

"Salary ranges provided are for informational purposes only and may vary depending on factors such as experience, qualifications, and geographic location. The final salary offer will be determined based on your skills and understanding of the role requirements.” 

This job description may not be inclusive of all assigned responsibilities or aspects of the job described, and may be amended at any time at the sole discretion of the Employer. Responsibilities are subject to possible modification to reasonably accommodate individuals with disabilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. Effectual Inc. is an EEO employer and does not discriminate on the basis of any protected classification in its hiring, promoting, or any other job-related opportunity. 

Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. 

Who You Are and What You'll Do: 

Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows. 

Responsibilities: 

• Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase. 

• Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform. 

• Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data. 

• Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents. 

• Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting. 

• Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets. 

• Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines. 

• Develop and expose data through Amazon API Gateway to support application and dashboard consumption. 

• Ensure data quality, validation, and integrity across all integration points and pipeline outputs. 

• Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features. 

• Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows. 

• Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides. 

Qualifications: 

• 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments. 

• Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora. 

• Hands-on experience with AWS Glue for ETL development and data pipeline orchestration. 

• Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities. 

• Working knowledge of Amazon Textract for automated document data extraction. 

• Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies. 

• Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration. 

• Solid understanding of data modeling, data quality validation, and integration testing practices. 

• Familiarity with Amazon API Gateway for exposing data services to downstream consumers. 

• Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams. 

Nice to Have: 

• Experience with Amazon Bedrock or AI/ML-integrated data pipelines. 

• Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems. 

• Experience with GraphQL APIs or AWS AppSync. 

• Knowledge of TypeScript or Python for pipeline scripting and Lambda function development. 

• AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect). 

• Background in construction, insurance, or financial services industries. 

"Our Culture": 

At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: 

"A Customer Obsessed, Delivery Focused, Culture" 

• We’re driven to exceed our customers’ expectations by listening, leading, solving problems, and delivering what we promise 

• We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME 

"A Culture of Learning and Sharing" 

• We value “Lifetime Learners”; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge. 

• Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities. 

• We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach. 

• Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially. 

"A Culture of Growth and Scalability" 

• Growth comes from not establishing barriers in your role. “Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way. 

• The most elegant solution is a simple solution. Simple doesn’t mean easy. It’s often more difficult to break a complex problem down into simple, scalable terms. We don’t appreciate, or value, over architected solutions or superfluous coding. 

• Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time. 

"All Work is Strategic" 

• No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow 

• Every task, interaction, and commitment matters 

• Big or small, we execute our plans and strategies with focus, commitment, and passion 

We offer: 

Job Type: Full-time, 1099

Duration: Short-term

Benefits: 

• Remote work 

Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we’re dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn’t perfectly align with what we have listed. We look forward to hearing from you. 

No Agencies Please! 

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. 

The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. 

This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day.

Location: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.

What your day will look like

The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.

• Work across the entire Linux stack, from kernel, networking, storage, to applications,
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark,
• Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud),
• Collect customer business requirements and advise them on Ubuntu and relevant open source applications,
• Grow a healthy, collaborative engineering culture in line with the company values,
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients,
• Liaise with product teams to give them feedback on requirements to influence roadmap,
• Work collaboratively with your sales team to reach our common targets,
• Global travel up to 30% of time for internal, external events and customer meetings.

What we are looking for in you

• Exceptional academic track record from both high school and university,
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path,
• Experience in data engineering, MLOps, or big data solutions deployment,
• Experience with a relevant programming language, like Python, R, or Rust,
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation,
• Track record of going above-and-beyond expectations to achieve outstanding results,
• Demonstrated personal interest in continuous learning and development,
• Practical knowledge of Linux, virtualization, containers and networking,
• Business-minded technology thinker and problem solver,
• Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP,
• Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics,
• Intermediate level Python programming skills,
• Passion for technology evidenced by personal projects and initiatives,
• The work ethic and confidence to shine alongside motivated colleagues,
• Professional written and spoken English with excellent presentation skills,
• Experience with Linux (Debian or Ubuntu preferred),
• Excellent interpersonal skills, curiosity, flexibility, and accountability,
• A dynamic person who loves to jump in new projects and interact with people,
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation,
• Thoughtfulness and self-motivation,
• Result-oriented, with a personal drive to follow up and meet commitments,
• Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings.

What you’ll learn

• Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training,
• Wide range of open source applications and skills,
• Work directly with customers in a range of different businesses,
• Real-life and hands-on exposure to a wide range of emerging technologies and tools.

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• 40 days annual leave per annum, including public holidays and our All Company holiday periods
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

About Sharebite

Sharebite is the leading meal benefits platform built exclusively for companies to feed their employees. Our platform allows employees to order meals from any restaurant while streamlining all of the ordering & billing requirements for the company. Every meal ordered through the Sharebite platform results in a meal donation to local partners like City Harvest and Feeding America to help combat food insecurity. To date, Sharebite has donated over 15 million meals.

About the Role

As an AI Engineer, you will play a key role in shaping how Sharebite applies AI across both its product and internal operations. You will begin by working closely with the product and engineering teams to build a deep understanding of the codebase, core workflows, business logic, and operational complexity behind the platform. We see that foundation as essential to building AI solutions that are not only innovative but genuinely useful.

As you grow into the role, you will identify high-impact opportunities to use AI to improve efficiency, streamline manual work, and enhance the product experience for customers and internal teams. You will be responsible for designing, building, and refining AI-powered tools, automations, workflows, and product features that are practical, scalable, and well-integrated into the business. This role is ideal for someone who wants to pair full stack engineering with applied AI work and have a meaningful influence on how the function develops over time.

A note on the role: this position starts as a Full-Stack Engineer and evolves into an AI Engineer over time. If you’re looking for a pure AI/ML research role, this likely is not the best fit. If you’re someone who loves building real products and wants to apply AI engineering over time, this role is perfect for you.

What You’ll Do

• Build and ship full-stack features across the product as you ramp up on the platform
• Develop a thorough understanding of our systems, data models, and business logic
• Identify high-leverage automation opportunities as you learn how the platform works
• Design and build AI agents and automated workflows using modern AI tooling
• Integrate LLMs into product workflows in ways that are reliable and production-safe
• Evaluate, iterate, and improve AI systems based on real-world performance
• Collaborate with product and engineering to solve user-facing problems
• Help define what effective, responsible AI engineering looks like at our company

Required Skills & Experience

• 5+ years of full-stack development experience, with a proven ability to own features end-to-end
• 1–2 years of hands-on AI engineering experience building and shipping LLM-powered systems in production
• Experience with at least one major AI orchestration framework such as LangChain, LangGraph, or AWS Bedrock
• Familiarity with LLM APIs (OpenAI, Anthropic, etc.), vector databases, RAG pipelines, and agent frameworks
• Strong software engineering fundamentals, including system design, testing, debugging, and clean code practices
• Clear communicator who can work across product and engineering teams

Who You Are

• Genuinely curious about how systems work, and not just how to layer AI on top of them
• Comfortable starting as a full-stack engineer and growing into AI engineering as you learn the product
• Thoughtful about where AI adds real value and where it doesn’t
• Someone who takes ownership and doesn’t wait to be told what to improve
• Excited by the idea of being the person who shapes how an entire company thinks about AI

What Success Looks Like

• 0–3 months: You’re shipping product features independently and have a strong mental model of how the platform works
• 3–6 months: You’ve shipped your first AI-powered workflow or agent into production
• 6–12 months: You’ve automated multiple high-impact workflows and are proactively identifying the next wave of opportunities

At Sharebite, we are committed to providing competitive pay in line with industry and market standards. The base compensation range for this role is $110-$130k per year, however actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and location. Salary is just one component of Sharebite's total compensation package, which includes equity, multiple health insurance options, and a wide range of benefits, including a daily meal stipend.

Senior Fraud & Risk Engineer

Are you passionate about solving complex challenges in the fintech space? We’re looking for talented individuals to join our dynamic startup, backed by Sequoia Capital. We’re building the universal payment layer to unify all currencies—fiat and crypto—so businesses and consumers can transact seamlessly. If you're excited about creating innovative solutions in a fast-paced environment, we want to talk to you.

We are hiring a Senior Fraud & Risk Engineer!

As a Senior Fraud & Risk Engineer at Breeze, you will own and build the risk infrastructure that powers our payments platform. This is a highly strategic and hands-on role where you will design, implement, and scale our fraud detection systems across a diverse and growing portfolio of merchants.

You’ll work across best-in-class tools like Sift and Sardine to create a multi-merchant risk engine that balances approval rates with fraud prevention. From rules architecture to model tuning and chargeback analysis, you’ll be responsible for driving measurable improvements in fraud performance.

This role is ideal for someone who has built or operated fraud systems in payments or marketplaces, thrives in high-ownership environments, and wants to shape risk as a core product function at a fast-growing fintech company.
Preference on a colleague who can work hybrid in our NYC office. 

What You’ll Do

• Own and evolve Breeze’s fraud risk engine, integrating Sift ML scoring and Sardine rules across all merchant categories
• Design and maintain a scalable rules architecture, including category-level defaults, merchant-specific overrides, velocity checks, and blocklists
• Continuously tune thresholds and features across merchant segments to optimize approval rates and minimize fraud
• Build feedback loops between manual review decisions, chargeback data, and model retraining to improve detection accuracy
• Partner closely with risk operations to translate real-world fraud patterns into automated rules and systems
• Lead onboarding of new merchants into the risk stack, solving cold-start challenges and calibrating risk for new verticals
• Monitor and improve key fraud KPIs, including approval rate, chargeback rate, and false positive rate
• Collaborate cross-functionally with product, engineering, and operations to ensure risk systems are scalable and deeply integrated into the platform

What We’re Looking For

• Proven experience in fraud and risk engineering within payments, marketplaces, or acquiring processors (e.g., Stripe, Adyen, Square, Checkout.com, Worldpay)
• Hands-on experience integrating third-party fraud tools such as Sift, Forter, Featurespace, Feedzai, or Kount
• Experience operating multi-merchant or marketplace fraud systems, including segmentation, shared models, and per-merchant customization
• Strong understanding of rules engine design, including layered rules, velocity checks, and scalable rule management
• Deep operational fraud knowledge, including manual review workflows, chargeback handling, and false positive analysis
• Comfortable working cross-functionally and translating operational insights into technical systems
• Highly analytical with a strong bias toward measurable outcomes and continuous improvement
• Adaptable, resourceful, and thrives in fast-paced, ambiguous environments

Requirements

• 6+ years of experience in fraud/risk engineering in fintech, payments, or related technology environments
• Proven experience working with or integrating fraud detection platforms (e.g., Sift, Sardine, Forter, Feedzai, Kount)
• Experience supporting multi-merchant or marketplace environments with complex risk needs
• Strong understanding of payments infrastructure, transaction flows, and fraud vectors
• Familiarity with PCI compliance, 3DS, and PSP-level risk tooling is a plus
• Experience in high-risk verticals such as gaming, crypto, or digital goods is a plus
• Ability to own systems end-to-end, from design through production and iteration
• Bachelor’s degree or equivalent experience

Our Culture

• Fast-paced and dynamic – We move quickly and adapt to capture opportunities
• Builder’s mindset – We value ownership, initiative, and creativity
• Collaborative – Risk, product, and engineering operate as one unified team
• Continuous learning – We challenge each other and constantly improve

Why Join Us

• Competitive salary + equity
• 21 days PTO
• Flexible benefits: annual medical allowance, productivity allowance, gym/well-being subsidy
• Annual team retreat
• Opportunity to build core risk infrastructure at a Sequoia-backed company with strong momentum and runway

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

Help us shape the future of open source IT, devops, and IS, from bare metal to containers. Our goal is to revolutionise open source application and infrastructure operations.

We want to transform the world of software operations by enabling true model-driven operations via next-generation infrastructure-as-code. This will allow companies to run very efficient bare-metal operations for high-performance computing, private cloud, data lakes, AI/ML, and analytics. We need to invent some new technology, and we need to build some new products; we are therefore looking for someone who can lead and inspire a regional software engineering team to fulfill this initiative.

The Solutions Engineering team works in close collaboration with our managed infrastructure operations team, which runs many private OpenStack clouds and Kubernetes clusters for customers around the world. This enables us to improve our infra-as-code products based on our own real experience, mirroring that of our users and customers. We work in Python, creating open source automation capabilities that simplify operations for anybody, anywhere, who is building on Ubuntu.

Most of the team's work involves pure Python software development focused on enabling true DevOps workflows. We strive for high quality in both design, documentation, tests, and performance as we enhance operations code packages and Ubuntu itself in order to ensure our platform is the easiest, most robust, and best performing for driving your infrastructure.

This role is ideal for software engineers who want to work in a global team, have a passion for distributed systems and cloud computing, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers.

What you will do

• Work in Python and Golang to design and deliver open source software operations code
• Work with the entire Linux stack, from kernel, networking, storage, to applications
• Shape high quality open source monitoring and alerting infrastructure
• Rethink open source operations for our customers and open source community
• Demonstrate sound engineering design and testing principles in your code
• Follow agile software development practices
• Coach and develop your colleagues where you have insights
• Grow a healthy, collaborative engineering culture in line with the company values
• Global travel up to 10% of time for internal and external events

Who you are

• You are a passionate Python developer
• You are organised and want your team to deliver timely, high quality software
• You understand the importance of reliable operations in an agile world
• You have sound knowledge of cloud computing concepts & technologies
• You have practical knowledge of Linux and networking
• You are a lifelong learner

Bonus points for

• You have graduated with a university degree in Computer Science or related software engineering field
• Golang programming skills

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

We are hiring an Ubuntu Pro Sales Engineer to help global companies embrace the latest and greatest Linux and open source applications. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu Pro, OpenStack and Canonical Microcloud, Kubernetes and a wide range of associated technology. The people who love this role are software engineers who enjoy customer conversations and solving customer problems during the presales cycle. Ubuntu is used by pretty much every enterprise in the world, in every industry. This is a fantastic opportunity to learn about the open source technology landscape and develop your business technology insights. You will see first hand in various industries how Linux - and Ubuntu in particular - is shaping innovation and changing the world for the better.

This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads.

Location: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.

What your day will look like

The Ubuntu Pro Sales Engineer is a key player in our efforts to facilitate and drive the adoption of Ubuntu Pro in the very large Ubuntu enterprise user base.

• Collect customer business requirements and advise them on Ubuntu and relevant open source applications
• Identify customer challenges with open source and articulate how Ubuntu Pro could help solve them
• Deliver presentations and demonstrations of Ubuntu Pro to prospective and current clients
• Liaise with product teams to give them feedback on requirements to influence roadmap
• Work collaboratively with your sales team to reach our common targets
• Global travel up to 25% of time for internal and external events and 25% to customer meetings

What we are looking for in you

• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Demonstrated personal interest in continuous learning and development
• Practical knowledge of Linux, virtualisation, containers and networking
• Business-minded technology thinker and problem solver
• Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
• Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
• Intermediate level Python programming skills
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred) 
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• A dynamic person who loves to jump in new projects and interact with people
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation 
• Result-oriented, with a personal drive to follow up and meet commitments 
• Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring an Alliances Field Engineer to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.

Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.

We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.

We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.

Location: This is a home-based role, we are hiring worldwide.

What your day will look like

• Understand Ubuntu, Linux, networking and services in real-world environments
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud)
• Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX
• Help partners to offer and architect joint solutions utilizing Canonical’s technologies on top of the public clouds and in the data center
• Design and publish joint Reference Architectures and perform technical validations with various partners
• Prepare and run onboarding sessions/workshops with various partners’ teams to promote Canonical products and solutions

If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.

What we are looking for in you 

• Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, software automation
• Experience designing and implementing solutions on top of public or private clouds
• Python and bash understanding, troubleshooting skills
• Fluent written and spoken English
• Excellent communication and presentation skills
• High motivation, ability to multi-task and follow-up reliably on commitments
• Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs
• Interest in new technologies like LXD, Juju and Snaps
• Ability to travel globally up to 30% of the time
• Degree in Computer Science, Mathematics, Physics or related technical field experience

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-Remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

This is a general selection process for software engineers focused on virtualisation and container technology - from the kernel through userspace. Apply here if you are an exceptional Go, Rust, or C/C++ software engineer and want to work on next-generation open source VMM or container technology, or related open source networking and storage.

Container, virtualisation and cloud infrastructure have become essentials of modern software deployments. We invest in open source related to application isolation, workload orchestration, system or OCI containers, micro service architecture or cloud infrastructure.

Here are some examples of projects under way at Canonical.

RustVMM has great potential as a new hypervisor for Linux. We are building a team to work on this, with an emphasis on performance, security and operability. Work in Rust and bring your expert knowledge of VMM and related kernel networking and storage capabilities.

Docker images are easy to make and publish on Docker Hub and other registries, but the quality, consistency and security maintenance of those images is broadly very poor. Canonical is in a good position to publish a portfolio of outstanding Docker images. Our Rockcraft team is designing and implementing an elevated Docker image experience for the open source community.

LXD is a modern system container and virtual machine manager that is widely used on Ubuntu, ChromeOS and other Linux platforms. LXD engineering spans the entire software stack from low-level kernel work on namespaces, confinement, security, filesystems, VMMs and networking, to the high level management REST API and CLI.

Members of the Kubernetes product team build MicroK8s for on-rails K8s, and Charmed Kubernetes for more sophisticated integration. We work on K8s itself and on the operations tooling around it.

The OpenStack team deliver Charmed OpenStack, OVN / OVS and Ceph. This work brings cloud platform technologies to large-scale computing environments.

These teams hire system level C/C++, Golang, Rust and Python developers to work on security-critical, performance-critical and mission-critical code, focused on software delivery, containers, security, sandboxing, application orchestration and management. Our teams are motivated to have a meaningful impact on modern cloud computing technologies.

Location: we have remote container and virt engineering roles in every time zone.

What you will focus on

• Design and specify new features, building consensus on approach
• Engage with upstream communities in your area of expertise
• Conduct security analysis and reviews to ensure defence in depth
• Create and monitor performance benchmarks to optimise your product
• Collaborate proactively with a distributed team
• Write high quality code to create new features
• Debug issues and produce high quality code to fix them
• Review code produced by other engineers
• Discuss ideas and collaborate on finding good solutions

What we are looking for in you

• An exceptional academic track record from both high school and university
• Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
• Drive and a track record of going above-and-beyond expectations
• You have worked on open source virt or container tech
• You have experience working in the kernel or very low level system
• Professional written and spoken English 
• Experience with Linux (Debian or Ubuntu preferred) 
• Excellent interpersonal skills, curiosity, flexibility, and accountability 
• Passion, thoughtfulness, and self-motivation 
• Excellent communication and presentation skills 
• Result-oriented, with a personal drive to meet commitments 
• Ability to travel twice a year, for company events up to two weeks each

Additional skills we value

• Performance engineering and security experience

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We are hiring a Software Engineer for Distributed Systems Testing with a passion for building and validating resilient distributed systems. You drive the success of those leveraging Canonical’s Ubuntu and Juju to build multi-cloud deployable applications. We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to testing, test automation, reporting and data analytics.

The Distributed Systems testing team at Canonical is responsible for the high quality of Canonical’s Cloud solutions based on for example Juju, Terraform, OpenStack, or Kubernetes. Systems are tested and deployed under highly diverse conditions, from bare metal in customer data centers to public clouds such as AWS, GCE, Azure.

As a software engineer you will have the opportunity to develop CI pipelines which power Canonical’s cloud integration testing and reporting. You will help test our products on new clouds and advance our AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.

The role entails

• Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications 
• Enabling engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
• Enhancing continuous integration pipelines for deploying and testing Canonical’s cloud native products such as Kubeflow
• Deploying, managing, and debugging highly distributed systems on clouds and bare metal
• Monitoring and reporting on automated testing efforts
• Collaborating daily with a globally distributed team

What we are looking for in you

• Solid background in modern test processes and strategies
• Experience with Python or Go development
• Strong object oriented development skills
• Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub Actions
• Knowledge of networking technologies and fundamentals
• Solid understanding of the Linux system architecture
• Complex abstract thinking
• 2-4 weeks of international travel travel per year

Nice-to-have skills

• Ability to develop and ship modern production grade web applications
• Ability to operate data platforms: key-value stores, relational or document databases, event buses
• Data collection and analytics skills for large multidimensional datasets
• Experience with AI/ML pipelines
• Experience with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

About Us 

Defuse Labs develops NEAR Intents to enable seamless cross-chain interactions in an automated world — connecting AI, services, and financial applications. At Defuse Labs we design intent-driven liquidity layers, where smart contracts breathe, AI transacts and chains sync in real-time With expertise in AI, cryptography, and decentralized finance, our team is redefining how intelligent agents interact across blockchain networks.

We invite you to be a part of our team of smart, professional, result-oriented and fun individuals. Join us to help ensure that our background processes run smoothly while we are striving to become the best in the industry.

About the Position

We’re looking for a Senior Software Engineer (Solvers) to architect and guide the development of our Solver network—the core infrastructure powering NEAR Intents. In this role, you'll lead engineering design and implementation, enhance performance and reliability, and build the next generation of intent‑powered cross-chain execution.

Responsibilities

• Design & build the Solver framework: Architect the algorithms, execution strategies, and infrastructure that power solver competition, quote aggregation, and intent-ready execution workflows.
• Drive technical excellence: Lead deep code and design reviews, make high-impact architectural decisions, and uphold the highest engineering standards.
• Collaborate across teams: Work with product, research, and ecosystem partners to align Solver capabilities with the NEAR Intents roadmap.
• Guarantee performance at scale: Ensure low-latency, high-throughput execution across chains and decentralized environments.
• Innovate Solver economics: Shape incentive structures, competition mechanisms, and cryptoeconomic models to grow and sustain Solver participation.
• Stay hands-on: Balance leadership with active coding, prototyping, and tackling the most complex technical challenges in real-time.

Requirements

• 7+ years of software engineering experience.
• Deep expertise in distributed systems, high-performance networking, or large-scale infrastructure.
• Strong familiarity with smart contracts, on‑chain execution frameworks, or cryptoeconomics.
• Fluency in Typescript and Go is a must (experience in Rust is a plus).
• Strong at abstracting complexity: breaking down organizational and technical challenges and driving them to resolution.
• Comfort in ambiguity: you move fast, take ownership, and delight in solving hard problems.

Nice to Have

• Experience building MEV strategies, solver networks, or competitive auction mechanisms.
• Familiarity with cross-chain messaging protocols or cryptographic signature aggregation.
• Knowledge of AI/ML applied to optimization problems.
• Prior work in open-source ecosystems, especially in Web3-native protocols.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred) 
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation 
• Result-oriented, with a personal drive to meet commitments 
• Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands-on experience with machine learning libraries, or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Essential Duties and Responsibilities:

• Build, maintain, and support all environments which host the Medrio Platform
• Monitor environments for issues, configuring and building alerting/self-healing of issues
• Update and maintain documentation and architectural diagrams
• Work with developers and testers to troubleshoot application/platform issues
• Design and implement architectural solutions to solve problems and support features
• Mentor junior level engineers

Competencies

• Kubernetes and Service mesh management
• Windows and Linux administration
• Cloud service provider experience (GCP, Azure, AWS, Oracle Cloud)
• Basic Oracle, SQL Server, or other relational database administration
• Scripting (Powershell, Bash)
• Configuration management (Jenkins, Helm, Ansible) 
• .NET application management
• Ability to be creative as well as analytical, organized and detail oriented when problem-solving
• Experience with AI/ML tools for automation, observability, predictive maintenance, and incident management
• Strong verbal and written communication skills.
• Strong leadership, project management and people skills
• Natural curiosity and self-motivation to learn and keep current on technical skills
• High energy level combined with good organization and multi-tasking skills necessary to achieve a changing mix of short, medium, and long-term objectives

About Medrio:

At Medrio, we look for smart, capable, and conscientious people to help us expand our product capabilities, grow our business, and better serve our customers. Our employees love working for us because they get to develop, market, and sell a product that advances human health, and they enjoy many perks, including

• Great benefits: We offer medical, dental, vision, and life/LTD insurance, and we cover 100% of our employees’ health insurance premiums and 50% of dependent premiums.
• Wellness: Medrio values our staff’s well-being. To prove it, we promote an atmosphere of work/life balance, including flexible work schedules and locations.
• Weekly company-wide standup.

The Medrio team is made up of individuals with a wide array of skills and interests, but all have a passion for providing the best possible user experience for our customers. We value collaboration, ingenuity and creating a culture of excellence!

Salary Range: $170,000 - 190,000 USD

To see detailed information on the data we collect during the application process, and how Medrio complies with data privacy laws, visit our Careers page.

About this opportunity:

At Freenome we are seeking a Senior Software Engineer to grow our Platform team. This is an opportunity to join a stellar group of engineers with the mission to enable scientific innovation, cross-functional collaboration and data intelligence as we move from R&D to the commercial launch of our lifesaving multi-cancer detection blood tests. This team builds and operates the multi-tenant platform that provides a governed data lakehouse and query infrastructure, scalable batch and distributed compute, and self-service environments for development and analytics to an interdisciplinary user base across all Freenome.

The ideal candidate has experience building internal platforms, enjoys collaborating with other domain experts, and is comfortable operating in a fast-evolving technical and organizational environment.

The role reports to our engineering management team. This role will be a Remote role.

What you’ll do:

• Lead projects end to end and contribute to impactful platform initiatives that power R&D, operational excellence and business intelligence analytics.
• Partner with engineers, scientists, product managers and business teams to identify high-leverage opportunities and build common solutions.
• Integrate open-source, enterprise and SaaS technologies into our evolving stack.
• Design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation and scaling.
• Contribute to the growth of our Data Lakehouse platforms, enabling well governed data products for analytical and operational use cases.
• Continuously improve the Research Platform to meet our Science’s evolving needs for experimentation, ML Ops, data processing and analysis.
• Help shape how we approach data modeling, context engineering and emerging semantic layers to make data easier to discover and to use.
• Advocate for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability.
• Explore and pilot AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization.
• Collaborate through system design, code reviews and pairing, promoting a strong team culture of accountability, learning, and psychological safety.
• Support platform users to troubleshoot issues and unblock critical work.
• Model Freenome’s values and principles in your work and interactions.
  

Must haves:

• 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar.
• Proficiency with Python and experience with one or more other high-level programming languages.
• Strong knowledge of Linux fundamentals including networking and containerization.
• Hands-on experience operating cloud services, storage and compute using IaC with at least one major cloud provider, preferably Azure or GCP.
• Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes.
• A pragmatic approach to reliability, observability, performance tuning, and operational excellence.
• Excellent communication and documentation skills.
• Comfort with cross-functional collaboration and navigating tradeoffs.
• BS or higher in computer science or a related technical field, or comparable experience.
  

Nice to haves:

• Columnar data processing, open lakehouse technologies and table formats.
• Supporting researchers, data scientists, AI/ML teams.
• Flyte or other modern workflow orchestrators.
• Everything as Code approach to infrastructure, policies, data.
• Operating production systems in Microsoft Azure.
• Open-Source contribution and maintenance.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

About the Job

As Director of Engineering, you will be the most senior engineering leader on the team, reporting directly to the VP of Product & Engineering. You’ll own the technical health, delivery cadence, and team performance of Splitero’s engineering organization, spanning a Salesforce team, a product engineering team, and QA resources.

You'll lead the execution layer, partnering closely with a Lead Engineer (product) and a Manager of Engineering (Salesforce) who handle day-to-day technical work and team management, respectively. Your focus is on the bigger picture of setting engineering strategy, driving architectural decisions across our stack, managing our external vendor relationships, and acting as the connective tissue between engineering teams. You will drive AI-first engineering practices while ensuring team quality and velocity are monitored and maintained as we scale operations and technical verticals. You'll collaborate closely with product leadership as a genuine thought partner who understands that great technology is built around user problems and business impact, not just tickets in a queue.

At Splitero, we move fast, and the ideal candidate thrives in that environment. You are someone who can bring structure without slowing momentum, understands how to balance the trade-offs between engineering excellence and best-in-class user experiences, and measures success by what ships and what it does for the business.

Responsibilities:

• Engineering Strategy & Delivery
• Own delivery accountability across the external and internal engineering teams. Maintaining a unified view of progress, risks, and dependencies.
• Drive the engineering roadmap in partnership with product, ensuring technical investments align with company objectives.
• Drive architectural decisions across the full stack: consumer-facing React applications, API layers, Salesforce integrations, and data infrastructure
• Optimize and evolve shared processes across internal and external teams: sprint cadences, quality standards, retrospectives, and a single source of truth for delivery status
• External Team & Vendor Management
• Own the end-to-end vendor relationship with Splitero's external engineering partners to drive continued improvement while maintaining standards across teams.
• Further strengthen the integration between contracted teams so all engineers operate as part of Splitero, not apart from it.
• Leadership & Team Development
• Coach and develop two senior direct reports, helping them grow as leaders while maintaining high performance in their domains.
• Provide clear upward communication to the VP of Product & Engineering, synthesizing status, risk, and strategic recommendations across the full org.
• Partner with People Operations on hiring strategy, org design, and workforce planning as the team scales
• Foster a culture of engineering excellence, continuous improvement, and constructive accountability
• Technical Oversight
• Evaluate and approve architectural proposals from internal and external teams, ensuring consistency, scalability, and maintainability.
• Own the technical integration layer between Salesforce and the core web platform — data sync patterns, API integrations, and shared infrastructure.
• Stay current on emerging technologies (particularly AI tooling) and recommend adoption where it improves velocity, quality, or competitive positioning.
• Ensure compliance with security, data privacy, and regulatory requirements relevant to financial and real estate data.

Reporting Structure:

Lead Engineer & Product Engineering team: Directly reports to this role. Owns core platform architecture and hands-on development across React, TypeScript, Node.js, PostgreSQL, and AWS. Splits time 60/40 between development and technical leadership.Quality Assurance: Directly reports to this role. Owns end-to-end quality through automation and manual testing across go to market and Salesforce stack.Manager of Engineering (Salesforce) - Directly reports to this role. Owns Salesforce engineering and admin execution, system architecture, team performance, and hiring.

The on target earnings for this position is $200,000 - 250,000, inclusive of a base salary and a biannual bonus based on company, team, and individual success.  Within the range, individual pay is determined by job-related skills, experience, and relevant education or training.

About You

• 10+ years in software engineering with 4+ years in engineering management, including experience managing managers or senior technical leads.
• Strong technical knowledge across Martech, go-to-market, product, and Salesforce-oriented engineering teams and tech-stacks.
• Working knowledge of modern web technologies: React, TypeScript, Node.js, PostgreSQL, and cloud deployment platforms. You must be able to evaluate architectural proposals and identify risk.
• Familiarity with Salesforce platform architecture at the integration level, including APIs, data sync tools, and middleware patterns.
• Strong cross-functional collaboration skills; able to partner closely with product and marketing teams without owning the functions directly.
• Familiarity with AI/ML platforms and practical applications of LLMs in product and engineering workflows.
• Track record at a startup or growth-stage company (sub-300 employees), comfortable operating in fast-moving environments where priorities shift.
• Excellent communicator up and down the org — synthesizing complex engineering status into clear executive updates while shielding teams from unnecessary noise.
• Demonstrated experience managing an external or outsourced engineering team.

Preferred:

• Experience in fintech, proptech, or real estate technology — particularly products handling sensitive financial data or consumer lending.
• Track record scaling an engineering org from ~10 to ~25 people, including hiring pipelines, onboarding, and evolving team structures.
• Experience transitioning work from an external engineering team to internal ownership.
• Experience with data-intensive applications: ETL pipelines, analytics systems, or complex PostgreSQL data models.
• Knowledge of SOC 2 or data privacy frameworks relevant to financial and personal data.

About Us

Millions of homeowners in today’s economy are sitting on substantial home equity they are unable to access due to rising interest rates and strict qualification requirements of traditional lenders. That means millions of homeowners can’t convert their hard-earned equity into cash to pay off debt, start a home renovation, or pad their retirement to better their lives.

Splitero co-founders Michael Gifford and David Zvaifler witnessed the problem firsthand throughout their real estate careers. They set out to create a win-win product that could help those homeowners access their home equity but not make monthly payments like traditional financing options. And thus, Splitero was born.

As part of our team, you will join our quest to revolutionize the real estate industry while helping families in need. We offer a suite of benefits designed to help you thrive in all areas of life.

• Fully Remote Team - Our remote-first culture allows us to hire the best people, regardless of location.
• OneTeam Culture - We foster a culture of transparency, innovation, and inclusivity, where every voice is heard and every team member is valued. We believe in celebrating our successes, doing the right thing, and helping each other so we grow as a team and as individuals. 
• Generous Resources - We want to ensure you are set up to do your best work. In addition to a solid tech stack, and access to any WeWork location, you will receive a monthly cell and internet stipend.
• Premium Healthcare - We offer comprehensive healthcare plans for you and your family, which employees are eligible for on their first day.
• Flexible PTO and Parental Leave - We offer a generous PTO and encourage employees to take time off to recharge. We're proud to offer a parental leave policy that allows you to welcome your new addition without worry.

We are a workforce composed of individuals with diverse backgrounds, abilities, minds, and identities. In keeping with our commitment to inclusion, we will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodations are required when applying, interviewing, or performing the essential functions of this position, please contact People Operations, at peopleops@splitero.com. 

Essential Duties and Responsibilities:

• Develop, maintain, and scale end-to-end automation frameworks for UI, API, and backend services independently with minimal supervision.
• Integrate automated tests into CI/CD pipelines to ensure fast, reliable delivery.
• Define and execute comprehensive testing strategies across API, UI, integration, regression, performance, and security testing.
• Collaborate with engineers to improve code testability, reliability, and overall product quality.
• Track and analyze quality metrics, automation coverage, defect trends, and regression risks; recommend improvements.
• Participate in code reviews and provide technical guidance from a quality perspective.
• Mentor and coach junior QA/SDET engineers, promoting best practices in automation and quality engineering.
• Drive quality initiatives across teams, influencing design and architecture decisions to enhance testability.
• Leverage AI/ML tools for intelligent test generation, prioritization, defect prediction, and test data management.
• Advocate for quality in product planning, release readiness, and post-release analysis.

What You'll Do

• Implement & Enhance: Translate requirements into robust, maintainable test automation using Python and Robot Framework. You’ll be expanding our existing suite, not just running static tests.
• Leverage AI Safely: Utilize AI tools (like Cursor) to boost your development velocity. You will be responsible for validating, debugging, and refining all AI-generated code to meet our internal standards.
• Architecture Stewardship: Build out test scenarios using the Page Object Model (POM), ensuring code reuse and long-term maintainability.
• Pipeline Management: Monitor and debug our CI/CD pipelines (Jenkins), ensuring test results are actionable and feedback loops are tight.

Tech Stack You'll Work With

• Languages: Python 3.11+
• Frameworks: Robot Framework 6.1.1, Playwright, Selenium
• Core Patterns: Page Object Model (POM)
• Tools: Cursor (AI-assisted coding), Pabot (Parallel Execution), Git, Jenkins, Testrigor, Postman
• Cloud Environments: GCP, Azure
• Database: SQL/ Oracle DB (Strong relational database knowledge)

Working Conditions (include any required travel): 

• Remote

What We're Looking For

We need a Quality Engineer who balances technical precision with a forward-thinking    mindset. You don’t just test code; you build systems that ensure long-term stability.

• Software Quality Expertise: 3–5 years of experience in software quality engineering, with deep hands-on expertise in test automation frameworks (e.g., Playwright, Selenium) and testing libraries.
• Engineering Proficiency: Strong coding skills in Python or JavaScript. You don't just write scripts; you write clean, modular, and maintainable code.
• Architectural Awareness: You understand the "why" behind patterns like Page Object Model and can implement them independently to create scalable testing suites.
• Technical Ecosystem: Solid understanding of the SDLC, Agile practices, and CI/CD pipelines. You have experience working with cloud environments (GCP or Azure), relational databases (SQL), and developer tools like GitHub Actions.
• AI-First Mindset: You’ve experimented with AI coding tools and understand their limitations. You know that while AI can generate a script in seconds, a human engineer is required to ensure it is reliable, secure, and optimized for intelligent test coverage and defect prediction.
• Security & Collaboration: You respect the "guardrails" for eg: data security and environment separation are second nature to you. You thrive in cross-functional environments, partnering with architects and stakeholders to solve complex problems.
• Mentorship: You have a passion for mentoring junior team members and fostering a culture of quality across the engineering organization. 
• Experience working in a clinical trial industry or healthcare is a huge plus

About Medrio:

At Medrio, we look for smart, capable, and conscientious people to help us expand our product capabilities, grow our business, and better serve our customers. Our employees love working for us because they get to develop, market, and sell a product that advances human health, and they enjoy many perks.

The Medrio team is made up of individuals with a wide array of skills and interests, but all have a passion for providing the best possible user experience for our customers. We value collaboration, ingenuity and creating a culture of excellence!

Salary Range: $120,000 - 140,000 USD

To see detailed information on the data we collect during the application process, and how Medrio complies with data privacy laws, visit our Careers page.

About the Role

We’re looking for an ambitious AI Engineer to transform how our go-to-market team operates. San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid. 

As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.

This is a highly hands-on role for someone who enjoys shipping systems, experimenting rapidly, and solving messy real-world problems with software.

Why This Role Matters

This role is a force multiplier for the entire company. You’ll build the infrastructure that allows the GTM team to move faster, learn faster, and scale without proportional headcount. You’ll help us:

• Turn GTM from a set of tools into a cohesive, intelligent system
• Scale workflows without scaling headcount
• Improve signal quality and timing for marketing and sales
• Increase learning velocity across the entire funnel
• Shape how an open-source, bottom-up product grows into enterprise adoption

What You’ll Do

Build & Automate the foundational GTM AI stack

• Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
• Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
• Build internal tools and lightweight services that accelerate GTM teams
• Replace manual workflows with scalable, automated systems

AI-Powered Systems & Agents

Design and deploy AI-driven workflows and agents that augment GTM teams.

Examples include:

• Lead qualification, inbound lead routing, and enrichment
• Personalized lifecycle marketing and outbound messaging
• Sales assist tools for deal intelligence and account research
• Automated account insights, pipeline analysis, and deal lifecycle management
• User onboarding, activation, and expansion signals

You’ll continuously improve these systems using real performance data and feedback loops.

Growth: PLG + Sales-Assisted Motion

• Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
• Partner with Data & Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
• Partner closely with Product & Marketing to turn usage insights into GTM leverage

Experimentation & Learning

Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence.

• Design and run experiments across acquisition, activation, conversion, and expansion
• Build experimentation frameworks (feature flags, A/B testing, measurement systems)
• Instrument systems to capture reliable data and insights
• Rapidly iterate based on results, not assumptions

Feedback Loops & Continuous Improvement

Create tight feedback loops between users, product signals, and GTM actions.

• Partner with head of , accessible, and actionable across teams
• Turn qualitative and quantitative insights into system improvements
• Continuously optimize workflows, models, and automation based on real outcomes

What We’re Looking For

Core Skills

This is fundamentally an engineering role, not traditional GTM operations. We’re looking for someone who enjoys building systems, not managing tools.

• Strong engineering background (software, data, or growth engineering)
• Comfortable shipping production code (APIs, services, scripts, internal tools)
• Experience working with data pipelines, analytics, and experimentation frameworks
• Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems

Collaboration & Ownership

• Ability to work cross-functionally with Product, Engineering, Marketing and Sales
• Comfortable operating with ambiguity and defining the problem as you go
• Strong communicator who can translate between technical and GTM stakeholders

Nice to Have

• Experience with open-source or developer-focused products
• Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
• Experience building internal tools for sales or marketing teams
• Prior work in B2B SaaS, data, or AI-first companies

Department/Team: Engineering 
Clearance Requirement:  Not Required - Must be eligible
Location: Remote
Employment Type: Full-time, Salaried

Role Summary

We are seeking a Senior Data Engineer to design and build high-performance real-time data platforms that power analytics, machine learning, and operational intelligence. This role focuses on streaming data pipelines, distributed processing, and large-scale event data systems.

You will work on building and operating low-latency data pipelines using technologies such as Apache Flink, Apache Druid, Kafka, and modern data infrastructure, enabling real-time insights across large volumes of structured and unstructured data.

This role requires strong experience in stream processing architectures, distributed systems, and scalable data infrastructure.

Key Responsibilities:

• Design and implement real-time streaming data pipelines for high-volume event data. 
• Develop and operate distributed data processing systems using technologies such as:
• Apache Flink
• Apache Kafka
• Apache Druid

• Build scalable ingestion pipelines capable of handling millions of events per second.
• Design low-latency analytical data stores for operational dashboards and real-time analytics.
• Optimize data pipelines for performance, scalability, and fault tolerance.
• Work with product and analytics teams to translate business needs into real-time data models.
• Build and maintain data observability, monitoring, and reliability frameworks.
• Implement schema evolution and data quality controls across streaming pipelines.
• Contribute to data platform architecture decisions and infrastructure design.
• Mentor junior engineers and promote best practices in data engineering and distributed systems.

Required Qualifications

• 7+ years of experience in data engineering or distributed systems development
• Strong experience building streaming data pipelines
• Hands-on experience with at least one major streaming framework
• Experience with real-time analytical databases 
• Experience with large-scale distributed systems
• Strong SQL skills and experience designing analytical data models
• Experience building fault-tolerant, highly scalable pipelines
• Proficiency in one or more programming languages:
• Java
• Python
• Experience with AWS 

Preferred Qualifications

• Experience operating Apache Flink clusters in production
• Experience with Apache Druid real-time ingestion
• Experience building low-latency OLAP analytics systems
• Experience with Kubernetes-based data infrastructure
• Experience with Iceberg / Hudi / Delta Lake
• Experience with real-time ML feature pipelines
• Experience building observability for data platforms
• Experience with high-volume event streams (billions of events/day)

Job Description 

Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through our advanced AI solutions. Our computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network. We're seeking an experienced Machine Learning Engineer to help lead our computer vision initiatives. You'll drive the development of cutting-edge models for power grid analysis and provide a leadership anchor on a team of talented ML engineers.

Responsibilities

• Architect and lead end-to-end computer vision projects focused on: Equipment defect detection, Thermal anomaly identification, Vegetation encroachment monitoring, Surveillance of closed areas for human and animal intrusions
• Drive innovation by incorporating the latest advances in deep learning and generative AI to enhance model training, accuracy and reliability
• Develop production-grade Python libraries for the complete ML lifecycle
• Mentor team members and establish best practices for model development, evaluation, deployment, and monitoring
• Advocate for and uphold software quality standards within the ML team

Qualifications & Experience

• 7-10 years of industry experience in computer vision and machine learning
• Deep expertise in modern computer vision and deep neural networks including: Object detection, Semantic segmentation, Image classification, Similarity search, Vision language models
• Proven track record of deploying and maintaining ML models in production
• Expert proficiency in PyTorch, Lightning, OpenCV, and Scikit-Learn
• Proficiency in FastAPI and Pydantic
• Strong software engineering foundation including: Git version control, Test driven development (Pytest), CI/CD, ML devops, Python type hinting
• 2-3 years of proven leadership experience of technical teams

Desired Additional Experience

• Multi-modal computer vision 
• Custom object detection model development
• Generative models for data augmentation
• ML deployment on edge devices
• Extracting measurements from GIS and/or drone metadata enriched imagery
• Model quantization
• Systematic hyperparameter tuning

Additional information:

• This position does not include sponsorship for United States work authorization.

Job Description:

B12's engineering team views software as a craft, but improving the world as the reason to practice it. Our engineers are responsible for prioritizing, conceptualizing, co-designing, building, testing, and engaging users for any concept we are building out. We’re generalists in encouraging each other to experience the full stack, but we’re also aware of each other’s preferences in the stack. For this role in particular, we’re searching for a full-stack engineer who brings strong backend skills (and an interest in using them) to the product. We mentor and teach where we can, both inside and outside of the company.

We value sharing our work with the outside world. Our team has published papers on forming expert flash teams and machine-mediated worker hierarchies. We’ve baked our research into Orchestra, the system that coordinates our expert and machine teams, and released Orchestra into open source to contribute our software back to the community.

We hope our engineers have more longevity than any one tool we use, but here is a sampling of our current thoughts about technology:

• We live on Python/Django and TypeScript/React.
• We store blobs in Amazon’s S3, munch on them in Amazon’s EC2, develop in Docker, and deploy containers to Amazon’s Elastic Beanstalk.
• We believe PostgreSQL should be the first system you consider when thinking about persisting structured data.
• We clean and centralize data in Amazon’s Redshift, and are able to answer almost any question in SQL.
• We leverage AI in our product and our internal tooling, and faced with a landscape in constant flux, try to pick the right model or agent on a task-by-task basis.
• We have near-full test coverage on the backend, and are making progress on our frontend and integration tests.
• We set up continuous integration and deployment because, while this model comes with its own pains, we’ve disliked being on fixed release schedules on previous projects.
• We like to move fast and support point-in-time recovery :).

You’d be a good fit if

• You have at least 4 years of experience building products and systems in production.
• You are an amazing communicator.
• You feel comfortable managing your time and deciding among competing priorities.
• You are passionate about the future of work.
• You enjoy learning and teaching.
• You have some mobile experience.
• You are comfortable working with backend and frontend technologies, but have a deeper background and interest on the backend side.
• You care about and want to contribute to our mission of helping people do meaningful work.

Don’t fear:

• We're somewhat flexible on the number of years of previous experience for this role. We highly favor talent and interest.
• Some candidates may see this list and feel discouraged because they don’t match all the items. Please apply anyway: there’s a good chance you’re more wonderful than you think you are.
• B12 is a safe place for human beings. We particularly encourage you to apply if you identify as a woman, are a person of color or other underrepresented minority, or are a member of the LGBTQIA community.

How to apply

Please provide:

• A pointer to your CV, resume, LinkedIn profile, or any other summary of your career so far.
• If you have a profile on websites like GitHub or other repositories of open source software, you can provide that as well. If you don’t have one, it’s still very possible for us to get along just fine!
• In addition to the traditional application details, we also ask that you complete a small technical challenge below. Two notes:
  • By virtue of submitting your application via a public platform like GitHub, it's possible for people to search for projects with "B12" in the repository name/description/contents and see that you have applied. You can obfuscate these details for your privacy, but contact us if you could benefit from a slightly different process to further protect your privacy.
  • We’ve never tried a “write code to apply to B12” exercise before, and introduced it because of a recent deluge of AI-generated/AI-mediated applications that has made reviewing inbound applications infeasible for us. We hope that introducing this exercise results in a smaller number of qualified candidates without serving as too much of an impediment. You are welcome to use AI assistance on this exercise (we did!). We imagine we’ll iterate on this experiment, and very much welcome your feedback on your experience.

To submit an application, create the following Python script that is executed via a GitHub Action (or continuous integration on any other Git forge). The script should:

• POST to https://b12.io/apply/submission with the following JSON-encoded payload in the body. All fields are required:
  

  {

    "timestamp": "2026-01-06T16:59:37.571Z",

    "name": "Your name",

    "email": "you@example.com",

    "resume_link": "https://pdf-or-html-or-linkedin.example.com",

    "repository_link": "https://link-to-github-or-other-forge.example.com/your/repository",

    "action_run_link": "https://link-to-github-or-another-forge.example.com/your/repository/actions/runs/run_id"

  }

  • Make the timestamp an ISO 8601 timestamp
  • The action_run_link is a page similar to https://github.com/marcua/ayb/actions/runs/20561457327 (might differ if you’re using a forge other than GitHub), which allows us to see the continuous integration run that POSTed to B12
  • We’ve pretty-printed for readability here, but the post body should contain no extra whitespace (compact separators), have keys sorted alphabetically, and be UTF-8-encoded. For example, the canonicalized payload above is
    {"action_run_link":"https://link-to-github-or-another-forge.example.com/your/repository/actions/runs/run_id","email":"you@example.com","name":"Your name","repository_link":"https://link-to-github-or-other-forge.example.com/your/repository","resume_link":"https://pdf-or-html-or-linkedin.example.com","timestamp":"2026-01-06T16:59:37.571Z"}

• Include a header called X-Signature-256 in the post request
  • The value of the header should be sha256={hex-digest}, where the hex digest is the HMAC-SHA256 of the raw UTF-8-encoded JSON request body, using the signing secret as the key.
  • Use a signing secret of hello-there-from-b12 (yes, it’s public, but treat it like a secret in your implementation ;))
  • As an example, the payload above will have a hex digest of c5db257a56e3c258ec1162459c9a295280871269f4cf70146d2c9f1b52671d45
• If the POST is successful, you will receive an HTTP 200 with a response of
  '{"success": true, "receipt": "your-submission-receipt"}'
  • Print that receipt in your continuous integration task
  • To confirm your submission, copy/paste the receipt into the field below

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Backend Engineer with product vision. You’ll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You’ll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users.

Responsibilities

• Design, build, and operate backend services/APIs in Python/Django with Postgres/Redis.
• Own outcomes, not tasks: refine scope, suggest trade-offs, and land increments that deliver value quickly and safely.
• Model data and author migrations; tune queries and caching; manage background jobs/queues for high-volume workflows.
• Evolve API contracts with FE; keep interfaces clear, versioned, and resilient to change.
• Improve reliability and performance (timeouts, retries, idempotency, rate limits, pagination, backpressure).
• Implement secure, multi-tenant patterns: auth, permissions/RBAC, auditability, and safe data boundaries.
• Contribute to testing strategy (unit/integration), error handling, and graceful failure modes.
• Partner with Support to investigate production issues and turn learnings into fixes and prevention.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production backends in Python/Django (or a close equivalent) and SQL.
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Depth in REST API design, relational modeling, migrations, and performance tuning.
• Experience with background processing/queues (e.g., Celery/RQ/Kafka-backed workers) and operational concerns.
• Clear written communication at a Senior IC level—concise RFCs/PRDs, actionable reviews, and crisp decision records.
• Nice to have: GraphQL familiarity; Kafka/streaming; Spark/BigQuery; security/compliance exposure; multi-region architectures.
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable.

Responsibilities

• Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration).
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Keep UIs accessible and responsive; add solid error-handling and failure-mode UX.
• Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns.
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
• Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript—and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.

Responsibilities

• Build and maintain frontend components and views for labeling, review, and evaluation workflows with performance, accessibility, and scalability in mind.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Prototype to de-risk UX; use flags/gradual rollouts; gather feedback from users/support and iterate after releases.
• Raise the bar on FE standards: state management, testing, error boundaries, a11y, i18n, and developer ergonomics.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production React/TypeScript apps (HTML/CSS mastery; ES6+; a11y).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Comfort collaborating with APIs and occasionally touching backend code (Django/REST familiarity is a plus).
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
  
  

Nice to have

• Experience with data/ML tools, OSS, design systems, or performance profiling.
• Familiarity with feature flags/gradual rollouts and qualitative feedback loops (support forums, user sessions).
• Prior work on complex, data-heavy UIs (review tools, multi-step workflows, or IDE-like apps).
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!

Join the core team at Eclipse, where we’re building an AI agent-first marketplace that connects intelligence with real-world tasks, starting with data collection and labeling. We are seeking a Data Scientist to establish the foundation for how our data is labeled, processed, and prepared for consumption by next-generation Large Language Models (LLMs). Your work will be critical in transforming our raw data collections into valuable, AI-ready datasets.

Qualifications 

• Proven experience as a Data Scientist or Machine Learning Engineer with a focus on data quality and preparation.
• Strong understanding of data labeling methodologies and hands-on experience with data annotation platforms and workflows.
• Demonstrated experience preparing datasets for training and fine-tuning Large Language Models (LLMs), including knowledge of techniques like tokenization, embeddings, and NER.
• Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, spaCy, Hugging Face).
• Experience using APIs/SDKs to automate data annotation and active learning loops.
• Excellent communication skills, with an ability to create clear documentation for technical and non-technical audiences.

Responsibilities 

• Develop Data Labeling Strategies: Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling our data. Define and enforce quality metrics, including inter-annotator agreement.
• Optimize for LLM Consumption: Research, define, and prototype the optimal data formats, structures, and pre-processing steps required for fine-tuning and training LLMs on our datasets.
• Data Quality Analysis: Establish automated processes and metrics to analyze the quality of both raw and labeled data, providing feedback to improve our data collection and labeling workflows.
• Collaborate with Engineering: Work closely with the engineering team to guide the implementation of data processing pipelines and ensure the data infrastructure meets the needs of ML applications.

Nice-to-Haves

• Experience with audio data processing and relevant libraries.
• Familiarity with data annotation platforms and tools.
• Knowledge of modern MLOps principles and practices.
• Experience with large language model data curation and Reinforcement Learning from Human Feedback (RLHF) pipelines.

Join the Eclipse team!

Eclipse is building the fastest Ethereum Layer 2, powered by the Solana VM. Our general-purpose L2 combines the best of the modular stack without sacrificing UX or fragmenting liquidity. On top of this foundation, we’re building apps in-house and iterating quickly to find breakout consumer and AI experiences. We’re backed by top investors including Polychain, Tribe Capital, Placeholder, and DBA.

• Opportunity. We believe blockchains should be fast AND highly usable. You’ll do high-impact work to enhance Ethereum’s scalability, shaping the future of crypto
• Flexibility. We collaborate synchronously and asynchronously, across weekly all-hands meetings, Slack messaging, and quarterly in-person meetups
• Team. Our founding team has experience launching and scaling blue-chip projects such as dYdX, Uniswap, and zkSync. We’re backed by leading funds and leaders including Polychain, Tribe, Placeholder, DBA, Mustafa Al-Bassam, Tarun Chitra, Meltem Demirors, and others
• Culture. As an early member of our team, you’ll have a unique opportunity to help shape our culture. We value intellectual honesty, bias towards action, and believe every member plays a key role in achieving our ambitious goals
• Compensation. You’ll receive a competitive salary + equity + benefits package.

Eclipse Laboratories is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable laws or regulations. All employment decisions are based on qualifications, merit, and business need.

Role Overview

We’re seeking multiple Solutions Engineers to join our team of innovators and thought leaders. In this role, you’ll combine hands-on technical expertise with architectural vision to design and implement cutting-edge customer experience solutions using AWS services, with a particular focus on Amazon Connect and generative AI technologies.

Key Responsibilities

• Design and architect comprehensive customer experience solutions leveraging AWS services, particularly Amazon Connect, with a focus on integrating generative AI capabilities to enhance customer interactions
• Develop proof-of-concepts and prototypes to demonstrate innovative solutions to clients, showcasing the potential of combining cloud technologies with AI
• Lead technical discovery sessions and workshops with clients to understand their unique business challenges and translate them into actionable technical solutions
• Write and review code for critical components of client solutions, ensuring high standards of quality and scalability
• Create detailed technical specifications and architecture documents that align with both client requirements and AWS best practices
• Support continuous value delivery initiatives, including solution design, demonstrations, and implementation for signed customer engagements.

Required Skills & Experience

• Deep expertise in AWS services, particularly Amazon Connect and related customer experience offerings
• Hands-on experience implementing generative AI solutions in production environments
• Strong software engineering background with practical coding experience
• Proven consulting skills with the ability to communicate complex technical concepts to diverse audiences
• Experience in customer experience (CX) technology implementations
• Track record of successful solution delivery in highly regulated industries such as healthcare, finance, or government

Preferred Qualifications

• AWS certifications (Solutions Architect, Machine Learning Specialty)
• Experience with large-scale contact center migrations to cloud platforms
• Background in implementing AI/ML solutions in customer service contexts
• Knowledge of security and compliance requirements in regulated industries
• Experience with agile development methodologies

What Sets You Apart

• Ability to bridge the gap between business requirements and technical implementation
• Strong consultative approach with excellent client-facing skills
• Innovation mindset with a passion for exploring cutting-edge technologies
• Experience in both architectural design and hands-on development
• Understanding of contact center operations and customer experience best practices

JJanea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
We are urgently looking an exceptionally talented Senior Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will have the opportunity to work at the cutting edge of the software industry and help work on the client's internal AI/ML practice, as well as utilize your LLM, Data Engineering, ML, and ML Ops skills while working with a team of highly skilled professionals in the AI/ML domain.

• To be considered for this position, you must have the following qualifications:

  • Bachelor's or Master’s degree in Computer Science or a related field
  • 4+ years of experience as a Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer
  • Flexibility in experience with different programming languages and willingness to adjust to project needs
  • Strong knowledge of Python
  • Knowledge of machine learning algorithms, data pre-processing methods, and ML frameworks (such as PyTorch, TensorFlow, Keras)
  • Experience with containers and Kubernetes in cloud environments (AWS, MS Azure, or GCP)
  • Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo)
  • Understanding of software testing, benchmarking, and continuous integration principles
  • Ability to translate business needs into technical requirements
  • Excellent communication and problem-solving skills, with the ability to break down complex challenges and develop innovative solutions
  • Being self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environment
    
    
  Ideal candidates will also have:
  • Familiarity with agent frameworks (such as Langchain, Langgraph, IllamaIndex)
  • Familiarity with developing RAG systems
  • Experience with Natural Language Processing (NLP)
  • Familiarity with monitoring tools (such as DataDog or Langfuse)
  • Any associate cloud certification (AWS preferred)
  Responsibilities:
  • Design scalable data pipelines and infrastructure for enterprise ML systems
  • Implement ML models and systems into production
  • Collaborate with data scientists and software engineers
  • Deploy scalable tools and services for machine learning training and inference
  • Evaluate new technologies to improve ML system performance and reliability
  • Apply software engineering best practices, including CI/CD, to ML development
  • Facilitate the development and deployment of ML proof-of-concepts
  • Review, refactor, optimize, containerize, deploy, version, and monitor ML models
  • Implement monitoring and alerting solutions to ensure the reliability and performance of machine learning systems
  • Optimize and automate the machine learning deployment process to ensure efficiency and reproducibility
  • Collaborate with cross-functional teams to troubleshoot and resolve issues related to machine learning deployments
  • Stay updated with industry trends and apply knowledge to drive innovation
  • Promote industry best practices and enhance team expertise
    
    
  Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:
  • Competitive compensation with benefits, paid vacation, and sick leave.
  • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.
  • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
  • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.
   

#LI-DNI

We are seeking a skilled Full-Stack Developer for one of our distinguished clients. Our client is a technology company that specializes in transforming brand safety and contextual advertising through advanced AI and machine learning solutions. They deliver sophisticated content analysis across multiple media formats, providing granular insights into content risk, sentiment, and thematic elements that go beyond traditional keyword-based approaches.

This role involves developing scalable applications and backend infrastructure that powers next-generation brand safety and content suitability platforms. You'll work across the entire technology stack, utilizing your expertise in Python, API development, browser automation frameworks, CI/CD processes, and large language models to create innovative solutions and maintain high-performance systems.

Key Responsibilities

• Design, develop, and maintain scalable APIs and backend infrastructure for processing and delivering brand safety and content suitability data
• Build integrations with third-party advertising ecosystem platforms including DSPs, SSPs, and CDPs
• Deploy machine learning models and business logic into production environments
• Create and optimize client-facing JavaScript implementations for publishers, focusing on performance, privacy compliance, and cross-browser functionality
• Maintain data accuracy and integrity throughout all system layers
• Build and enhance web applications ensuring optimal functionality and user experience across the full stack
• Take ownership of complete product features from conception through deployment
• Design and manage database systems, optimizing performance while ensuring data security
• Perform code reviews, debugging, and troubleshooting to maintain software quality standards
• Utilize AI tools, models, and capabilities to enhance product offerings
• Research and implement emerging technologies, tools, and development best practices

Required Qualifications

• 10+ years of software engineering experience
• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• Advanced proficiency with backend programming languages and frameworks (Node.js, Python, Go, Java) including REST and GraphQL API development
• Extensive experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and automated deployment processes (CI/CD)
• Experience with event streaming technologies (Kafka, Kinesis) and large-scale data processing systems
• Strong skills in modern front-end development (React, Vue, or equivalent) with emphasis on performance and security for embedded implementations
• Comprehensive knowledge of API integration and working with large language models
• Proficiency in front-end technologies including HTML, CSS, and JavaScript frameworks (React, Angular, Vue)
• Solid experience with database management systems (MySQL, MongoDB, and similar)
• Excellent analytical and problem-solving capabilities with strong attention to detail
• Strong communication skills and collaborative team working abilities
• Commitment to continuous learning and staying current with industry developments and best practices

This position offers the opportunity to contribute to cutting-edge advertising technology solutions while working with a forward-thinking team focused on innovation and measurable impact for advertisers and publishers.

What are you waiting for? Fill out the form below and apply!

We are looking for a high-functioning psychopath to help bring the next wave of hybrid web2/3 applications.

You will be joining a team of top-tier self-selected sado-masochists, who work here because they can’t really work anywhere else. We value rapid communication and direct feedback, both internal and external. Breakneck pace shipping, autonomy and ownership, and constant experimentation are table stakes. Apologies in advance.

What Sparks Your Enthusiasm

• Shipping nonsense to billions of users
• That point of a futile debugging session where you start to question your sanity and everything becomes hilarious
• Finding interesting/troubling ways to solve engineering problems
• “Huh, that’s weird”, gives you a sense of giddy panic
• A constant feeling like your spinal column has been struck by lightning

What Turns You Away

• “It works on my machine”
• “The user should be able to figure it out”
• “That isn’t my problem”
• Feeling generally calm and in control of the situation

Requirements:

• Typescript
• React
• Self-destructive tendencies
• CSS Frameworks (Tailwind, MUI, etc.)
• Medically significant but non-terminal caffeine addiction
• Experience with Git/Github in a distributed team
• Experience integrating with REST/GraphQL/GRPC APIs
• Security Minded
• Comfort in a young, chaotic, rapidly evolving small team startup environment
• Ability to pick up and learn new stacks and tools on zero notice

Nice to haves:

• Cosm.js or Web3.js experience, general experience developing with crypto focused javascript libraries.
• Experience with NPM release best practices
• Experience working with and configuring bundlers (Webpack, Vite, etc.)
• Experience with browser and mobile data storage, ie LocalStorage, SQLite
• Performance conscious development, as the majority of the global user base is on mobile phones
• Integration and unit testing experience

Day-to-Day Responsibilities:

Actual: 

• Desperate banging on keyboard
• Ripping hair out over encoding errors
• Not learning from previous mistakes about encoding errors
• Ripping hair out over encoding errors

Formal:

• Design Implementation: Work closely with the design team to bring concepts to life, using provided designs as a foundation while exercising autonomy in execution.
• Feature Development: Take ownership of features from planning to release, including scoping, task management, and prioritization.
• Documentation Analysis: Research and review available documentation to guide development, navigating and interpreting scarce or ambiguous resources.
• Testing and Debugging: Conduct thorough testing and extensive debugging to ensure high-quality deliverables, iterating through multiple cycles as needed.
• Collaboration: Engage with the protocol team to facilitate smooth integration of features, providing technical guidance and feedback.
• Continuous Improvement: Participate in the release process, ensuring stability and performance, and contribute to ongoing improvements and refinements.

Cultural:

• Take on new features or bug fixes, with full ownership
• Scoff at the lack of documentation in our field
• “Reverse engineer” protocol level … stuff… to integrate into client
• Debug, debug, debug
• Release and iterate

About the role  

• Prototype rapidly, iterate and execute quickly based on technical guidance 
• Work at the frontier of modern cryptographic schemes and open-source AI
• Release your work into the open-source world and build alongside the Ritual community

About you

• Intellectually curious around intersections of interdisciplinary fields ranging from game theory to cryptography to machine learning
• Quick iteration and development cycles on writing and/or proof-of-concept

Extras

• Experience in cryptography,  machine learning software projects, ideally in open-source land

Why join us 

• Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure hardened by cryptographic schemes
• We work completely in open-source and ship weekly
• Maximize your knowledge gradient around fields that typically would not intersect

We’re open to exceptional people of all backgrounds for research (e.g. high school, undergraduate and postgraduate degree).