At Qohash, we're building a foundational pillar of Canada's digital sovereignty. As AI adoption accelerates and data becomes a strategic national asset, we believe security must scale differently, without moving or copying data.

We seek bold, mission-driven individuals energized by meaningful impact, not incremental change. You thrive in high-stakes, fast-moving environments where policy, technology, and global expansion converge. You take ownership, embrace constructive conflict, and act with accountability even when the path isn’t fully defined.

We value people who combine technical depth with strategic clarity, leaders who pursue excellence, show resilience under pressure, and collaborate across disciplines to protect the world’s most sensitive data.

If you’re motivated to help build a sovereign, globally respected technology champion, read on.

Company culture is at our core

Our 5 core values are more than just words; they are a way of life for us. We know that companies with a strong culture and a higher purpose perform better in the long run.

Do our values speak to you?

• Pursuit of excellence - Data security companies that aren’t constantly improving every aspect of what they mean by ‘excellent’ shouldn’t exist.
• Resilience - Security is a marathon without a finish line. Our customers and employees must have the support they need.
• Mission focus - We are here to protect the world’s most sensitive data and create a safer digital future for all.
• Accountability - Trust is earned through actions, not blame or wishful thinking. Fulfill promises and take responsibility for mistakes.
• Embracing conflict - To reach consensus and problem-solve quickly, it’s important to communicate honestly and courageously.

Who you are

You’re an AI-native Full Stack Developer who leverages LLMs and AI coding tools as a core part of your daily workflow, not as an occasional aid, but as a force multiplier. You bring strong engineering fundamentals in Java/Kotlin and React, and you’re energized by the speed that AI-assisted development unlocks. You thrive in fast-paced, high-accountability environments and treat quality, security, and velocity as inseparable goals.

What you will do

• Analyze, design, and implement features.
• Develop Microservice Oriented Architecture & build reusable components.
• Write well-designed, efficient, and testable code, using AI coding tools to accelerate implementation while maintaining code quality standards and performing unit and integration tests.
• Analyze performance and reliability to ensure that data is moving fast and accurately.
• Perform identification of code metrics and necessary analysis (code, requirements, system risk, and software reliability).
• Correct anomalies and problems as they arise.
• Test the implemented features to make sure all acceptance criteria are met
• Review code and provide guidance to other engineers to ensure that software is developed with maintainability, performance and security in mind.
• Participate in projects from the initial idea to launch.
• Advise the product owner on technological choices and decisions concerning developments.
• Contribute to the continuous improvement of development velocity, including AI-assisted testing, automated deployment pipelines, and LLM-augmented code review practices.
• Review the security/reliability implications of software design decisions.
• Collaborate with the security team to integrate security best practices into software development processes.
• Communicate risks associated to any activity, technology or processes as you identify them
• Participate in incident response activities and work with the infrastructure and security teams to investigate and remediate incidents.

What your resume shows

Must Haves

• 5+ years experience with Javascript Frameworks (React and Typescript)
• 5+ years of experience in Microservices development with Kotlin or Java, Springboot
• Demonstrated daily use of AI coding assistants (e.g., GitHub Copilot, Cursor, or equivalent) to accelerate development, with the ability to critically evaluate, refactor, and own AI-generated code
• Proven ability to operate within Agile/Scrum delivery cycles, using AI tools to compress sprint velocity and maintain documentation quality without adding overhead

Nice to Haves

• Preference is for candidates resident in Quebec
• Experience working in a Startup environment
• Cloud (AWS or Azure) experience
• Experience with Cybersecurity
• Bilingual in English and French
  
  

What’s in it for you?

• Competitive salary range.
• Enjoy up to six weeks of paid time off annually, because we value your work-life balance.
• Comprehensive health benefits, including:
  • Life insurance
  • Short- and long-term disability
  • Paramedical and telemedicine services
  • Health Spending Account (HSA)

Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company's operational requirements. Only those candidates selected for interview will be contacted.

JOB SUMMARY

We’re looking for a Senior QA Engineer who combines technical expertise with a proactive, collaborative mindset. You’ll be a key contributor to how we deliver quality, leading by example and communicating effectively across disciplines to raise the bar for engineering standards.

You’ll join our dynamic and growing Product Engineering team at Storyblok, playing an instrumental role in ensuring the quality and reliability of our flagship CMS platform. This platform empowers businesses to create and deliver seamless digital content experiences.

In this role, you’ll work closely with product owners, designers, and developers to design and maintain clean, scalable automated tests, develop thorough test plans, perform rigorous testing, and continuously refine QA strategies to maintain best-in-class software quality. Your work will directly contribute to delivering an exceptional user experience by ensuring flawless performance across every facet of our application.

ESSENTIAL JOB FUNCTIONS

• Own projects end-to-end with clarity, technical excellence, and accountability, ensuring high-quality standards across teams.
• Champion quality and coding standards, promoting engineering excellence, and driving continuous improvement.
• Design, implement, and maintain efficient and reliable automated tests across frontend and backend using Playwright and TypeScript.
• Think strategically about test automation; collaborate with developers to ensure balanced test coverage within the testing pyramid.
• Contribute to and evolve the overall testing strategy, improving QA processes and metrics.
• Prepare and review test plans to validate both functional and non-functional requirements.
• Perform manual and exploratory testing; document, track, and verify defects to ensure product excellence.
• Analyze test results and monitor key testing metrics to identify patterns and opportunities for improvement.
• Participate actively in project kick-offs to understand requirements, anticipate risks, and influence testability from the earliest stages.
• Advocate for user experience and product quality, collaborating closely with product, design, and engineering to align QA goals with delivery outcomes.
• Identify and communicate issues, risks, or dependencies early, escalating to product leadership when necessary.
• Mentor and support teammates, fostering an open, empathetic environment that encourages learning, feedback, and high-quality automation practices.

EDUCATION AND EXPERIENCE

• Bachelor's or Master's degree in Computer Science or a related field.
• 7+ years of relevant experience as a QA Engineer.
• 3+ years of proven experience in test automation across frontend and backend using Playwright.
• Strong proficiency in TypeScript with experience building scalable, maintainable automation frameworks.
• Comprehensive knowledge of CI/CD pipelines (GitHub Actions).
• Excellent communication and collaboration skills, with the ability to influence and align across technical and product teams.
• High attention to detail, proven ability to deliver results and a strong motivation to contribute to organizational growth in a high-performing environment.
• Experience in defining and driving test automation standards across teams.
• Experience mentoring QA engineers in test design, coding practices, and quality ownership.
• Demonstrates AI literacy, with the ability to leverage AI tools to enhance productivity, decision-making, and quality of work while applying sound judgment and critical thinking.

NICE TO HAVE

• Experience writing and maintaining Ruby on Rails code.
• Experience with observability and error tracking tools (e.g., Grafana, Kibana, Sentry) and identifying errors, trends, and issues.
• Experience with accessibility testing and best practices.

Your Role

As a Senior Software Development Engineer in Test on the Platform Team, you will be responsible for improving the automated and manual testing infrastructure at Alpaca - helping our developers quickly and reliably deliver new features.

We are looking for experienced engineers who not only understand testing best practices and CI pipelines, but also have in-depth knowledge of Kubernetes and can dig deep into application code when necessary. 

Things You Get To Do

• Develop a comprehensive testing strategy for our API surface
• Improve developer experience by standardizing tooling and infrastructure
• Coordinate with other teams to improve test coverage, reliability and speed
• Mentor and guide product engineers, fostering a culture of quality and continuous improvement within the team.
• Design and execute load, stress, and scalability tests to ensure our platform can handle growing user demands.

Who You Are (must-haves)

• You have 5+ years of experience as a Software Development Engineer in Test (SDET) or Senior Quality Assurance Engineer. 
• You have written code in strongly typed languages before and have at least 1 year of experience with Go.
• You have built and maintained CI pipelines before - we use a mix of GitHub Actions and Google Cloud Build pipelines.
• You have worked with microservices before and understand the challenges they pose for building reliable integrations and end-to-end tests. You have experience designing and building automated test frameworks.
• You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to prove this.
• You have worked at a startup before - you understand that things don’t always go according to plan, that there is significant technical debt, that some tasks just need to be done, and that sometimes there are no processes or documentation to guide your hand.
• You are not afraid of taking a task from start to finish - gathering requirements, figuring out and implementing the best technical solution, then deploying and monitoring the results.

Who You Might Be (nice-to-haves)

• You have written code in Python or TypeScript. You have experience writing efficient Dockerfiles and building secure container images.
• You have implemented load tests with k6 (REST) and ghz (gRPC) and have experience analyzing pprof/trace output.
• You have done IaC deployments with Argo CD or Terraform, or have used Google Cloud Platform and Google Kubernetes Engine before. You are familiar with Tilt and have written a Kubernetes Operator before.
• You are familiar with testing event-driven systems using Kafka (or even better, Redpanda).

About Freestar:

Freestar engineers cutting-edge monetization solutions for websites. By combining industry-leading technology, data, and massive scale, we enable busy site owners to seamlessly maximize revenue while freeing themselves of the hassles of ad operations. Publishers then have more time to do what they do best: create content.

Job Description:

Reporting to the VP of Architecture, the Senior DevOps Engineer is a core member of the Freestar Platform Team, responsible for the reliability, security, efficiency, and evolution of our global, customer-facing infrastructure. The Platform Team's mission is to enable our product and engineering teams to deliver high-quality software rapidly and reliably by providing a scalable, automated, and secure foundation.

In this role, you will join a team of skilled engineers to work on strategic projects to enhance system reliability and efficiency, and increase deployment velocity across the organization. You will also work in close collaboration with Engineering and Product teams to provide cross-functional infrastructure and operational support.

Our ideal candidate thrives on solving complex technical challenges in a fast-paced environment, supporting multiple projects, and is committed to maintaining high technical standards through automated workflows and the engineering of a resilient, scalable foundation.

Responsibilities:

• Cross-Functional Support: Act as the primary technical point of contact for Engineering and Product teams, providing daily operational support for Platform requests.
• Infrastructure & Cloud Management: Design, deploy, and manage scalable services on GCP.
• Automation & CI/CD: Build and optimize repeatable deployment pipelines and deployment blueprints.
• Cost Optimization: Monitor cloud expenditure and implement right-sizing initiatives to support departmental cost-reduction goals.
• Reliability & Monitoring: Maintain comprehensive monitoring and alerting frameworks to ensure high availability and lead rapid incident response for critical systems.
• Security & Compliance: Execute stack-hardening tasks, including vulnerability scanning, access control audits, and secrets detection.
• System Maintenance: Manage the ongoing updates, patching, and maintenance of platform components.

Qualifications:

• Experience: 5–7 years in DevOps, SRE, or Cloud Engineering with a focus on high-availability production environments.
• Cloud Expertise: 3+ years of deep, hands-on experience with major cloud providers (GCP preferred, AWS, or Azure), including cloud architecture, resiliency, and disaster recovery.
• Infrastructure as Code: Expert-level proficiency with Terraform and a "policy as code" mindset.
• Containers & Orchestration: Advanced knowledge of Docker and Kubernetes, including image management and cluster administration.
• Programming & Scripting: Strong fundamentals in Python, Shell, or equivalent languages for automation and tool building.
• CI/CD & DevOps Tooling: Proven experience building and maintaining modern pipelines (GitHub Actions, JFrog, CloudBuild) 
• Networking & SecOps: Solid understanding of cloud networking (VPCs, Firewalls) and security practices, including IAM, secrets management, and vulnerability scanning.

We’d also like to see: 

• A systematic, detail-oriented approach to troubleshooting and critical system examination.
• The ability to act independently and take ownership of technical tasks with minimal guidance.
• Previous experience in a high-scale, fast-paced environment (AdTech or Fintech experience is a plus).
• Experience with AI-driven automation, such as integrating AI agents into DevOps workflows, automated incident summaries, or leveraging LLMs to enhance developer productivity.

What you can expect in return:

• Full-Time, salaried position
• Generous Flexible Time Away policy
• Fully remote company, with collaborative asynchronous teamwork. 
• The opportunity to be part of something BIG
  
  

Freestar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Location: 

Remote (International OK)

While our operations are centered in the United States and preference will be given to candidates located within the US, we welcome international applicants who can ensure some overlap with US time zones, including US Pacific Time (UTC−07:00). This arrangement supports effective collaboration and synchronization with our team.

About Us:

Ameelio is a pioneering non-profit committed to using technology to make a significant social impact. Our mission encompasses the development and implementation of innovative tech solutions that improve the lives of incarcerated individuals and their families. We focus on enhancing communications and expanding educational opportunities within correctional facilities, which are crucial for maintaining family connections and supporting rehabilitation.

By providing free and accessible communication tools, we help preserve essential support structures that significantly reduce recidivism. We also challenge the unjust practices of incumbents in the industry who impose high costs on communications, ensuring that families, especially those least able to afford these fees, can stay connected without financial burden.

Join us in our mission to empower educators, improve familial connections, and fight against systemic exploitation in the communication services for incarcerated individuals and their families.

Technologies we use:

• TypeScript
• GraphQL
• React
• React Native
• WebRTC
• ffmpeg
• Docker
• Github Actions
• Kubernetes

Position Overview:

Responsibilities:

• Implement full stack changes on Ameelio Connect
• Support team members with regular code reviews
• Release and support changes in production
• Create maintainable code with appropriate tests and types
• Investigate and recommend solutions to issues reported by customers 
• Identify opportunities for improved code quality and procesS

Who we’re looking for:

• Works independently on medium and large features, seeking advice when making decisions not specified by the change request.
• Takes ownership of released changes, building confidence through automated tests, feature flags, and real-user monitoring.
• Considers impact on actual users when making decisions and prioritizing efforts.
• Motivated by delivering value to actual people
• Growth-oriented with low ego

Bonus experience:

• WebRTC
• ffmpeg
• Audio stream processing
• Video stream processing

Benefits:

• Competitive salary and excellent benefits package.
• Opportunity to contribute to a meaningful mission that positively (and measurably) impacts society.
• Ability to strongly shape the development/outcome of the product, lay a sustainable foundation, and set the team up for long-term success.
• Be an early part of a high-impact startup that has a bright future ahead of it.
• Work with a talented, passionate team committed to making a difference.
• Enjoy a great work/life balance

Salary:

We aim to offer competitive compensation that aligns with local standards while reflecting the significance of the role and the expertise brought by the ideal candidate.

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.

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.

Bioinformatics Machine Learning Intern

RefinedScience | United States (hybrid or remote)

At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease.

What We Are Looking For

We are seeking a highly motivated Bioinformatics Machine Learning Intern to join our team. This internship is designed for Ph.D. candidates with experience applying machine learning, deep learning, or generative AI methods to single-cell omics data. You will contribute to active projects spanning single-cell biology, multiomics integration, and computational approaches to precision medicine and drug development.

Our Bioinformatics team plays a crucial role in integrating computational biology, large-scale data analysis, and machine learning to drive discoveries in precision medicine and drug development.

Key Activities

• Analyze single-cell and multiomics datasets to extract biological insights supporting precision medicine and drug development programs
• Apply and evaluate machine learning and deep learning approaches to single-cell data for tasks such as cell type classification, biomarker discovery, and patient stratification
• Explore and prototype generative AI and LLM-based approaches to accelerate biological data interpretation and scientific workflows
• Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects
• Document and optimize computational workflows following reproducible research best practices
• Present findings through technical reports, visualizations, and presentations to cross-functional teams

Must Haves

• Current Ph.D. candidate in Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a related quantitative field
• Single-cell omics experience: Demonstrated ability to process, analyze, and interpret single-cell data (scRNA-seq, scATAC-seq, CITE-seq, or spatial transcriptomics) using frameworks such as Scanpy/scverse, Seurat, or Bioconductor
• Machine learning expertise: Applied experience developing and evaluating ML/deep learning models on biological data, including neural network architectures (GNNs, transformers, autoencoders), model selection and benchmarking, and integration of ML approaches into analytical workflows
• Programming proficiency: Python and/or R for data analysis, statistical modeling, and visualization
• Statistical foundation: Understanding of statistical methods for biological data (hypothesis testing, differential expression, multiple testing correction, clustering)
• Strong problem-solving skills and ability to communicate complex insights effectively

Desired Qualifications

Machine Learning & AI

• Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)
• Familiarity with graph neural networks, attention mechanisms, or transformer architectures applied to biological data
• Experience with ML experiment tracking and reproducibility (MLflow, Weights & Biases)
• Exposure to representation learning, variational autoencoders, or contrastive learning methods
• Familiarity with scikit-learn, XGBoost, or similar ML libraries
• Interest in or experience with LLMs, RAG systems, or agentic AI tooling

Bioinformatics

• Experience with multimodal single-cell integration (Seurat WNN, scvi-tools/MultiVI/totalVI, Muon)
• Familiarity with spatial transcriptomics analysis (Squidpy, cell2location, nf-core/spatialvi)
• Experience with cell-cell communication inference (CellChat, NicheNet, LIANA)

• Knowledge of drug-gene interaction resources (CMap/LINCS, OpenTargets, ChEMBL)

Engineering & Infrastructure

• Familiarity with Linux/Unix CLI and version control (Git/GitHub)
• Experience with containerization (Docker, Singularity) and environment management (conda, venv)
• Exposure to cloud computing platforms (GCP preferred)
• Familiarity with workflow managers (Nextflow, Snakemake)
• Adherence to best-practices for conduct reproducible computational research

Duration

8–10 weeks

Why You'll Love RefinedScience

Team + Values

At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage.

Our Values

• Act with Purpose – We believe in rigor through deliberate and thoughtful actions
• Be Curious – Curiosity is the spark that ignites innovation and growth
• Take Ownership – True ownership leads to pride and commitment in the work we do
• Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success
• Embrace Agility – We celebrate agile thinking, resilience, and adaptability

Compensation

• $34-$38 per hour

“Why did the microservice get promoted?  

Because it scaled under pressure.”

We are recruiting a seasoned DevOps Engineer for one of our valued clients, an innovative technology company specializing in AI-powered brand safety and contextual intelligence solutions. This role focuses on building and maintaining the robust infrastructure foundation that supports their advanced data analytics and content measurement platforms.

The ideal candidate will design, secure, and optimize the operational systems that enable scalable, high-performance applications. This is a pivotal role for someone passionate about automation, system ownership, and creating resilient infrastructure solutions from the ground up.

Key Responsibilities

• Design, implement, and maintain secure, scalable cloud infrastructure for high-throughput, low-latency applications (mainly AWS, with flexibility for multi-cloud environments)
• Develop and enhance CI/CD pipelines for efficient, reliable, and consistent deployment processes (GitHub Actions and similar tools)
• Continuously identify and implement infrastructure improvements across the entire product ecosystem
• Architect and support serverless solutions using AWS Lambda, ECS Fargate, and event-driven architecture components
• Establish comprehensive monitoring, alerting, and logging frameworks to ensure system reliability and visibility
• Manage infrastructure-as-code implementations using CloudFormation, Terraform, and related tools
• Partner with development teams to determine infrastructure requirements, deployment approaches, and operational toolsets
• Oversee secrets management and identity systems utilizing AWS IAM and similar platforms
• Maintain compliance with security and privacy standards, including access controls, encryption protocols, and audit mechanisms
• Resolve production incidents across all service layers with a focus on rapid response and thorough post-incident analysis
• Create and maintain automated backup, disaster recovery, and failover systems
• Research and adopt emerging DevOps methodologies and technologies to enhance platform performance and reliability

Required Qualifications

• 10+ years of software engineering background with 6+ years focused on DevOps, Site Reliability Engineering, or Infrastructure Engineering
• Demonstrated experience managing production environments with comprehensive infrastructure responsibilities
• Extensive AWS expertise, including compute, storage, networking, and identity management services
• Practical experience with serverless technologies (AWS Lambda, Step Functions, EventBridge, API Gateway, ECS Fargate)
• Advanced skills in Docker and container orchestration platforms (Kubernetes, ECS, GKE)
• Proficiency with CI/CD platforms such as GitHub Actions, CircleCI, ArgoCD, or Jenkins
• Strong scripting capabilities in Bash, Python, or Go for automation and tooling development
• Experience with observability solutions (Datadog, Prometheus, Grafana, ELK stack)
• Solid understanding of network design, security frameworks, and zero-trust access architectures
• Knowledge of secrets management systems and infrastructure-level access policy enforcement
• Exceptional troubleshooting and root cause analysis abilities
• Strong collaborative and communication skills across diverse technical and business teams
• Continuous improvement mindset with focus on automation, optimization, and security enhancement

This position offers the opportunity to join an early-stage team with proven success in developing cutting-edge contextual intelligence technology, working alongside talented engineers and product leaders who prioritize innovation and measurable client impact.

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