Archives: Jobs

Location: Remote
Job Type: Full-time

About the Role:

We are seeking a DevSecOps Engineer to bridge the gap between web development, operations, and security. You will be responsible for developing secure web applications, managing CI/CD pipelines, and implementing robust cloud and network security practices across our infrastructure.

Key Responsibilities:

• Design, develop, and deploy secure, scalable web applications using modern frameworks (e.g., React, Node.js, Django).

• Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI).

• Integrate automated security testing into the development pipeline (SAST, DAST, SCA).

• Monitor cloud infrastructure (AWS/GCP/Azure) and implement security best practices (IAM, VPCs, security groups, etc.).

• Conduct regular threat modeling, vulnerability assessments, and penetration testing.

• Automate infrastructure using Infrastructure as Code (Terraform, Ansible).

• Collaborate with development and IT teams to ensure DevOps and security alignment.

• Respond to and investigate incidents involving infrastructure or application compromise.

Required Skills & Experience:

• 3+ years of experience in DevOps or Site Reliability Engineering.

• 2+ years of hands-on web development experience.

• Solid knowledge of network security principles (e.g., firewalls, IDS/IPS, TLS, VPN).

• Experience with Docker and Kubernetes in production environments.

• Familiarity with OWASP Top 10 and secure coding practices.

• Scripting skills in Bash, Python, or similar languages.

• Experience with logging/monitoring tools (ELK stack, Prometheus, Grafana).

• Understanding of authentication protocols (OAuth2, SAML, etc.).

Preferred Qualifications:

• Certifications: OSCP, CEH, or AWS Security Specialty.

• Experience with zero trust security architecture.

• Contributions to open-source DevSecOps or security tools.

Title: Azure Data Engineer

Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy? We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company. Your responsibilities will also include:

• Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
• Designing experiments to measure the impact of new features on those metrics;
• Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
• Partnering with our machine learning teams for investigations and feature engineering; and
• Becoming an expert in our data analytics pipelines and core metrics

Qualifications We are looking for a Data Scientist with relevant and demonstrated industry experience working with cross-functional partners and driving work from idea to completion. Strong communication skills and experience collaborating with business and external stakeholders is a must. You would also ideally have education and work experience similar to the following:

• Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
• 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
• Experience with experimental design, econometrics, and/or causal inference is a plus but not required

And these technical/software skills:

• Expert level skills at SQL (experience with dbt is a plus but not required)
• Expertise with Python, R, or a similar data science scripting language
• Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar

Are you passionate about making a difference and eager to bring your unique skills to our team? We encourage you to apply for this position even if you don’t meet every specific criterion listed. We believe that diverse experiences and perspectives can greatly enrich our work environment and drive our success. If you’re enthusiastic about the role and confident in your ability to contribute, we want to hear from you. Bring your strengths and vision to the table, and let’s explore how you can make an impact with us. Salary band shown in CAD:   Salary band shown in USD:  

About the Team The Scaling Laws group within Architecture works to advance our foundational understanding of our deep learning stack. We study the algorithmic scaling behavior across architecture, optimization, and data. Besides leading directly to capabilities improvements, this work underpins OpenAI's ability to carry out other research through predictive scaling laws, correct experimental methodology, and evaluations.   About the Role As a Research Scientist here, you will be responsible for conducting investigations and developing principled theories that predict algorithmic scaling behavior. You will build and apply theoretically-grounded intuitions, design and execute careful experiments, think deeply about hyperparameters, and deliver improvements across all aspects of our algorithms.   You might thrive in this role if:

• You have a background in statistical machine learning, physics, mathematics, or another theoretically and empirically rigorous field.
• Or, you have a strong track record in deep learning research demonstrating an expert knowledge of deep learning algorithms (objectives, architecture, optimization).
• You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.
• You are a capable programmer and are comfortable implementing novel deep learning algorithms correctly and autonomously.

  About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Summary

We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmental research labs. In this hybrid technical and scientific role, you will work closely with environmental scientists and IT professionals to collect, process, analyze, and protect critical environmental data. You will apply machine learning to uncover trends, support lab experiments with real-time data systems, and ensure that all digital data infrastructures comply with cybersecurity standards.

Key Responsibilities

1. Lab & Environmental Data Support

• Assist researchers in collecting data from environmental monitoring devices (air, water, soil sensors).

• Manage and maintain lab instrumentation and field equipment, including IoT-based sensor systems.

• Organize and document experiment data using standardized lab protocols.

2. Data Science & AI

• Preprocess, clean, and manage large environmental datasets using Python or R.

• Develop and deploy AI/ML models to support analysis such as:

  • Climate and pollution forecasting

  • Ecosystem pattern recognition

  • Biodiversity and deforestation monitoring

• Create interactive dashboards, visualizations, and reports to communicate insights to non-technical stakeholders.

3. Cybersecurity & Data Governance

• Ensure the security and integrity of research data using encryption, access control, and secure storage solutions.

• Implement cybersecurity best practices for lab systems, IoT devices, and cloud-based data platforms.

• Collaborate with IT/security teams to monitor systems and resolve vulnerabilities.

• Ensure compliance with data protection regulations (e.g., GDPR, HIPAA, ISO 27001).

   

Required Qualifications

• Bachelor's or Master’s degree in Environmental Science, Data Science, Computer Science, Cybersecurity, or a related field.

• 2+ years of experience in a technical role involving data analysis or lab support.

• Proficiency in Python and/or R for data analysis and machine learning.

• Understanding of AI/ML frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).

• Familiarity with cybersecurity principles, tools, and technologies.

• Strong communication skills and ability to work in interdisciplinary teams.

 

Preferred Qualifications

• Experience with IoT devices and sensor networks (e.g., Raspberry Pi, Arduino, MQTT).

• Familiarity with cloud platforms (AWS, GCP, Azure) and data pipelines.

• Knowledge of GIS or remote sensing tools.

• Certifications in cybersecurity (e.g., CompTIA Security+, CEH, CISSP) or data science (e.g., Google Data Engineer).

 

What We Offer

• Opportunity to work on real-world climate and environmental challenges.

• A collaborative, cross-disciplinary team environment.

• Flexible work options (remote/hybrid).

• Professional development in AI, cybersecurity, and environmental data systems.

• Competitive salary and benefits package.

Role Overview

We are looking for a Senior Product Marketing Manager (AI Product) to lead go-to-market strategy, positioning, and growth for cutting-edge AI-driven products. This role requires a strong blend of product marketing expertise, AI understanding, and strategic storytelling to drive adoption and revenue.

You will work closely with Product, AI/ML, Engineering, Sales, and Leadership teams to translate complex AI capabilities into compelling value propositions for customers.

Key Responsibilities

• Own and execute go-to-market (GTM) strategies for AI and data-driven products

• Develop product positioning, messaging, and value propositions

• Translate AI/ML features into clear customer and business benefits

• Lead product launches, pricing strategy, and sales enablement

• Conduct market research, competitive analysis, and customer insights

• Partner with Sales to create pitch decks, case studies, and training

• Drive product adoption, pipeline growth, and revenue impact

• Track performance metrics such as adoption, ARR contribution, and win rates

• Act as the voice of the customer throughout the product lifecycle

Required Qualifications

• 7–10+ years of experience in Product Marketing or B2B SaaS marketing

• 3+ years working with AI, ML, data, or analytics-based products

• Proven success launching and scaling AI or technology products

• Strong understanding of product-led growth and enterprise GTM

• Excellent communication and stakeholder management skills

• Experience working in the US market

Preferred Qualifications

• Experience in AI SaaS, Generative AI, or Machine Learning platforms

• Background collaborating with Product Managers and Data Science teams

• MBA or advanced degree in Marketing, Business, or Technology

• Experience in high-growth startups or top tech companies

Why Join Us?

• Work on innovative AI products shaping the future of technology

• Competitive US-market compensation and equity opportunities

• High visibility role with career growth to Director or Head of Product Marketing

• Collaborative, fast-paced, and innovation-driven environment

• Flexible work options (remote/hybrid)

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Data Scientist at BairesDev We are looking for Data Scientists to join our Development team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry! These developers will face numerous technical challenges, so they must use current technologies, get involved in the mobile world, web applications, devices, etc. What You Will Do:

• Work together with developers, tech leads and solution architects to build applications.
• Improve existing structures by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of each business.
• The result of your work will also allow you to improve the user experience on scalable and high availability platforms, contributing to the key differential of each business.

Here’s what we are looking for:

• 5+ years of experience in Data Scientist.
• Proficient with analysis, troubleshooting, and problem solving.
• Hands-on experience with managing data loads and data quality a plus.
• Advanced English level.

How we make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive!

Job Description:

We are looking for an experienced Network Security Engineer to join our onsite team in Canada. The ideal candidate will be responsible for designing, implementing, and maintaining secure network infrastructures to protect the organization from cyber threats and unauthorized access.

Key Responsibilities:

• Design, deploy, and manage secure network architectures

• Configure and maintain firewalls, VPNs, IDS/IPS, and network security devices

• Monitor network traffic and respond to security incidents

• Identify vulnerabilities and implement risk mitigation strategies

• Conduct network security assessments and penetration testing

• Ensure secure configuration of routers, switches, and wireless networks

• Collaborate with IT teams to integrate security best practices

• Maintain network security documentation and policies

• Support incident response and disaster recovery efforts

• Stay updated with emerging network security threats and technologies

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, Cyber Security, or related field

• 3+ years of experience in network security or network engineering

• Strong knowledge of TCP/IP, DNS, DHCP, VPN, and network protocols

• Hands-on experience with firewalls (Cisco, Palo Alto, Fortinet, Check Point)

• Experience with IDS/IPS, SIEM, and network monitoring tools

• Knowledge of cloud networking security (AWS, Azure, or GCP)

• Familiarity with Linux and Windows environments

• Strong troubleshooting and analytical skills

Preferred Certifications:

• CCNA / CCNP Security

• CompTIA Security+

• CEH (Certified Ethical Hacker)

• CISSP (Preferred)

Benefits:

• Competitive salary as per Canadian market standards

• Onsite role with long-term career growth

• Health insurance and employee benefits

• Training and certification support

• Collaborative and secure work environment

What you can expect Zoom's Cyber Threat Intelligence team is seeking a remote Senior Analyst. This person will monitor the evolving threat landscape and deliver operational assessments that provide real-time awareness of global cyber threats to Zoom. The ideal candidate has a good understanding of intelligence tradecraft. They also bring solid technical skills in threat research, analysis, and reporting to help peer teams and leadership understand Zoom's cyber threat environment. A successful candidate is impact-driven, communicates effectively, and builds solid relationships with stakeholders and peer teams.   About the Team The Threat Intelligence team plays a critical role in identifying, analyzing, and responding to a broad range of security threats across the organization. The team focuses on both physical and cyber domains, including risk analysis, insider threats, malware, and emerging threat actors. Their work helps safeguard our people, assets, and technology from evolving global risks.   Responsibilities

• Providing real-time awareness, early warning, and operational readiness to defend Zoom against global cyber threats
• Developing and maintaining adversary profiles and mapping threat activity using frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model
• Performing technical threat intelligence analysis to collect, enrich, and evaluate threat information to identify malicious activity and support detection and response efforts
• Researching, writing, and disseminating intelligence products using structured analytic techniques tailored to both technical and non-technical stakeholders
• Delivering briefings, presentations, and written reports to senior and executive leadership to inform strategic decision-making and drive security recommendations
• Identifying collection gaps and employing intelligence-gathering methods across open and closed sources
• Working closely with peer security teams to provide contextual threat intelligence, triage potential incidents, and assess the impact of threats to Zoom. Building and maintaining intelligence-sharing partnerships with internal and external stakeholders.
• Collaborating with cross-functional security teams to provide timely, actionable threat intelligence that enhances Zoom's defensive posture and drives leadership decision-making

  What we’re looking for

• Have extensive experience in cyber threat intelligence, threat hunting, or related cybersecurity discipline within an operational and tactical setting.
• Have a good technical understanding of attacker tradecraft, common attack vectors, and tactics, techniques, and procedures attackers use to propagate across systems and networks
• Have proven experience in research, writing, and publishing analytic reports for both technical and non-technical audiences
• Possess good knowledge and hands-on experience with threat intelligence frameworks. This includes tools used to identify and track adversary behavior and tradecraft, such as MITRE ATT&CK, the Cyber Kill Chain, and the Diamond Model.
• Have hand-on experience using threat intelligence platforms and SIEMs
• Have experience participating in incident response, threat investigations, and escalating detection recommendations to enhance security posture
• Able to demonstrate the ability to work cross-functionally with security, engineering, and product teams
• Have knowledge of intelligence collection methodologies and management

Salary Range or On Target Earnings:   In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.   Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.   We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!   Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.   Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.   About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

We are seeking an experienced AI Project Manager to lead the planning, execution, and delivery of AI-driven initiatives. The ideal candidate will bridge the gap between business goals, data science teams, and engineering stakeholders to ensure AI solutions are delivered on time, within scope, and with measurable impact.

Key Responsibilities

• Lead end-to-end AI and machine learning projects from ideation to deployment

• Collaborate with data scientists, engineers, product managers, and business teams

• Define project scope, timelines, budgets, and success metrics

• Translate business requirements into AI project roadmaps

• Manage risks, dependencies, and stakeholder expectations

• Ensure ethical AI practices, data governance, and compliance standards

• Track KPIs and report progress to leadership

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

• 3–6 years of experience in project management (AI/tech projects preferred)

• Strong understanding of AI/ML concepts and workflows

• Experience with Agile, Scrum, or hybrid project management methodologies

• Excellent communication and stakeholder management skills

• Proficiency in tools like Jira, Confluence, Asana, or similar

Preferred Qualifications

• PMP, Scrum Master, or AI-related certifications

• Experience working with cloud platforms (AWS, Azure, GCP)

• Exposure to AI governance, model lifecycle management, or MLOps

Salary Range (USA – 2026)

$115,000–$145,000 per year (based on experience and location)

Why Join Us?

• Work on cutting-edge AI initiatives

• Collaborate with top AI and data professionals

• Competitive compensation and growth opportunities

• High-impact role shaping AI-driven business outcomes

An AI Security Analyst plays a crucial role in protecting artificial intelligence systems, models, and data against potential cyber threats. With the rapid adoption of AI across industries, ensuring the security and ethical use of these technologies has become a top priority. This role combines expertise in cybersecurity, data protection, and AI model risk management to create a safe digital environment for organizations.

The AI Security Analyst is responsible for identifying, analyzing, and mitigating security risks in AI and machine learning pipelines. This includes safeguarding sensitive datasets, monitoring for adversarial attacks, and implementing robust access controls. The analyst also evaluates vulnerabilities in algorithms and AI-powered applications to prevent exploitation.

Collaboration is a key aspect of this position. The analyst works closely with data scientists, AI engineers, and cybersecurity teams to establish secure frameworks for AI development and deployment. By integrating security best practices into each stage of the AI lifecycle, they ensure that models are both effective and resilient against threats.

Additionally, the AI Security Analyst leads efforts in compliance and governance. This includes aligning with industry regulations, ethical AI standards, and privacy laws to maintain trust and transparency. Incident response planning and threat modeling are also central responsibilities, helping organizations stay prepared for potential breaches.

The ideal candidate for this role has strong knowledge of cybersecurity principles, machine learning risks, and ethical AI practices. With a proactive mindset and problem-solving approach, the AI Security Analyst contributes significantly to organizational resilience and ensures that AI innovations are secure, reliable, and responsibly managed.

Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.