Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Data is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Data

• Proficiency in Python and/or SQL
• Strong understanding of data analysis, statistics, and data modeling concepts
• Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
• Familiarity with ETL processes and data pipelines
• Understanding of databases (relational and/or NoSQL)
• Knowledge of data warehousing concepts and architecture
• Ability to work with large datasets and optimize data workflows
• Experience with data quality, validation, and governance practices
• Strong problem-solving and analytical skills

Preferred:

• Experience with big data tools (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP, Azure)

Exposure to real-world data projects (analytics, engineering, or architecture)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

​​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 look for bold, mission-driven individuals who are 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 relentlessly, demonstrate resilience under pressure, and collaborate across disciplines to protect the world’s most sensitive data.

If you’re motivated by helping 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 are a Senior Infrastructure Developer who believes automation is not an optimization—it is the foundation. You design infrastructure that is self-healing, observable, scalable, and secure by default.

You think in systems. You leverage automation, AI-assisted tooling, and intelligent monitoring to eliminate manual toil and reduce operational risk. You are comfortable integrating AI capabilities into infrastructure workflows—from predictive scaling to anomaly detection and automated remediation.

You thrive in ambiguity and fast iteration cycles. In a startup environment, you move quickly while maintaining architectural discipline. You communicate risks transparently, challenge assumptions constructively, and hold yourself accountable for reliability outcomes.

You understand that in cybersecurity, infrastructure resilience is product integrity.

What you will do

• Design, deploy, and maintain cloud infrastructure that is cost-efficient, observable, scalable, fault-tolerant, and secure by default.
• Leverage Infrastructure as Code tools like Terraform and helm with a strong emphasis on modularity and reusability
• Design and implement intelligent monitoring and alerting systems that prioritize actionable signals and minimize noise.
• Integrate AI tooling into infrastructure operations (anomaly detection, vulnerability remediation, log intelligence)
• Support and empower development teams in their day-to-day operations by providing infrastructure as code, automation, and practical tooling.
• Reduce operational overhead through scripting, automation frameworks, and AI-assisted tooling
• Collaborate closely with Security and Compliance to embed strong security practices into day-to-day operations and foster a proactive security culture.
• Evaluate architectural decisions through the lens of scalability, cost optimization, and risk mitigation
• Participate in incident response and lead root cause analysis with a focus on automation to prevent recurrence
• Proactively communicate technical risks and propose forward-looking infrastructure improvements

What your resume shows

Must Haves

• Strong alignment with Qohash’s core values and experience thriving in high-growth or startup environments
• Candidates must reside in Quebec or Ontario
• 7+ years of experience working with Infrastructure as Code in AWS cloud production environments (Terraform, Kubernetes)
• Experience designing automated CI/CD pipelines
• Experience implementing observability solutions
• Experience reducing manual operational overhead through automation using scripting or programming language (e.g., Python, Bash or similar)
• Ability to communicate with clarity, translating complex systems, risks, and ambiguous technical realities into aligned, actionable outcomes.

Nice to Haves

• Experience integrating AI tooling into infrastructure or DevOps workflows
• Experience with AIOps, building practical tools that simplify day-to-day operations and reduce complexity in lengthy processes..
• Experience in cybersecurity or data security environments
• Experience with Microsoft Azure or GCP
• Experience building SaaS infrastructure at enterprise scale
• 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.

​​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 look for bold, mission-driven individuals who are 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 relentlessly, demonstrate resilience under pressure, and collaborate across disciplines to protect the world’s most sensitive data.

If you’re motivated by helping 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 & 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

The AI Automation Software Developer thrives in an environment where AI is at the core of how we work and scale. You are a builder who codes with speed and precision, turning ideas into working automations that remove bottlenecks and accelerate results. You have a natural curiosity for generative AI and automation frameworks, and you know how to apply them pragmatically to multiply impact. Independent yet collaborative, you are motivated by delivering outcomes that push Qohash closer to becoming an AI-first cybersecurity company.

What You Will Do

• Build, test, and deploy automations and AI-powered tools that optimize workflows and accelerate marketing operations and automate go-to-market execution.
• Integrate APIs and design MCP servers to ensure seamless interoperability across internal systems.
• Collaborate with marketing, product, and security teams to design and automate the generation of branded documents and marketing assets, ensuring consistency across all go-to-market materials.
• Continuously research, experiment, and apply the latest GenAI technologies to Qohash’s AI automation roadmap.
• Rapidly prototype and iterate on intelligent workflows, delivering in days or weeks instead of months.
• Contribute directly to the Qohash Deal Desk, embedding AI capabilities into sales enablement and execution.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and knowledge-sharing sessions, promoting an AI-first engineering culture.
  
  

What Your Resume Shows

Must-Haves

• 3-4 years of experience in software development (e.g., Python, JavaScript, Java, Golang).
• Strong experience with API integrations and automation workflows.
• Hands on experience with AI agent frameworks (e.g., Claude Agent SDK, LangChain).
• Familiarity with AI-driven coding tools (e.g. Claude Code, Cursor).
• A proven ability to work independently, solve problems quickly, and deliver outcomes at speed.
  
  

Nice-to-Haves

• Bilingual (English/French).
• Based in Quebec (preferred).
• Experience with AWS, Azure, or GCP.
• Experience in marketing or demonstrated interest in go-to-market, brand, and content operations. 
• Contributions to open-source projects or a personal coding portfolio.
• Cybersecurity awareness or best-practice knowledge.
• Startup environment experience.
  
  

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 an interview will be contacted.

About the Role

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

What you'll do

• Contribute to our application security program. Work with our SAST, DAST, and SCA tooling, triage and prioritize vulnerabilities, and partner with engineering teams to drive remediation. Participate in threat modeling and secure design reviews on new products and services.
• Share incident response on-call. Investigate, contain, and resolve security incidents alongside the rest of the team. Help refine our runbooks, detection coverage, and post-incident process.
• Help harden our cloud and Kubernetes environment. Contribute to security posture across GCP and GKE: IAM and least-privilege, secrets management, container and supply chain security, and IaC guardrails (Terraform).
• Build detections and security automation. Engineer high-signal detections from cloud, identity, and application telemetry. Automate the toil of vuln triage, access reviews, SaaS posture, questionnaire workflows so the team scales.
• Streamline customer security work. Help respond to customer security questionnaires and audits, and build internal tooling and a knowledge base so this scales as deal volume grows.
• Strengthen business continuity and DR. Help assess threats to continuity, contribute to DR plans, and run real exercises against them.
• Help drive a security culture across engineering. Pair on developer training, secure-coding guidance, and standards work to make the secure path the easy path.

Who We Hope You Have: 

• 5+ years of hands-on experience managing cloud infrastructure and automation.
• Experience in achieving SOC2 Type II, ISO 27001, or similar certifications
• Experience with Node.js or Python for backend services in a microservices architecture.
• 3+ years of experience with cloud providers, preferably Google Cloud Platform (GCP).
• Solid experience with cloud security on GCP or AWS, including IAM, Kubernetes, and IaC.
• Knowledge of asynchronous processing, message queues (e.g., Kafka, Pub/Sub), and event-driven architecture for backend applications.
• Experience focused on the internal engineer team success

$160,000 - $180,000 a year
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 does include stock options, benefits and additional perks. 

Trivelta builds the technology that powers a modern online sports betting & casino platform that operators use to launch and offer their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

The Role

As a Senior Backend Software Engineer, you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a key contributor, you will drive innovation, optimize system performance, and ensure scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics

Key Responsibilities

• Develop Backend Systems
  Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.
• Ensure Performance, Security & Compliance
  Optimize system performance, scalability, and reliability. Implement security best practices and ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Mentor
  Support and guide engineers by sharing best practices and contributing to a culture of continuous learning and technical excellence.
• Collaborate Cross-Functionally
  Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.

 Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Strong hands-on experience with Python for backend development, automation, and data processing.
• Experience building and maintaining APIs, working with CI/CD pipelines, and supporting infrastructure automation.
• Solid understanding of system performance optimization, security best practices, and regulatory compliance, including AML, KYC, and data privacy.
• Experience working with data pipelines, analytics integrations, and geolocation-based access controls.
• Experience mentoring or supporting other engineers and sharing engineering best practices.
• Strong collaboration skills working with cross-functional teams across product, finance, compliance, and support.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

Requirements

• Fluent in English
• Minimum 4 years of relevant experience

ABOUT THE ROLE

We are looking for an Operational Security Engineer to join our global FinTech organization and help strengthen the security of our people, devices, identities, and business operations.

This role focuses on building and operating practical security controls across the company’s internal environment. You will help secure enterprise platforms, strengthen identity and endpoint posture, assess risks introduced by third-party tools and emerging technologies, support incident response, and improve operational resilience across the organization.

We are looking for someone who is hands-on, analytical, and operationally minded, with strong cybersecurity experience and the ability to think like an adversary. The ideal candidate understands how modern threat actors operate, can apply threat-informed thinking to real-world business environments, and is comfortable working across identity, SaaS, endpoint, and user security.

You will collaborate closely with internal teams such as Productivity & AI Engineering, Cloud Security, and Application Security whenever work spans multiple security domains.

KEY RESPONSIBILITIES

• Operate and continuously improve the security enterprise platforms through effective controls, detections, monitoring, and incident response.
• Configure and manage IAM, access controls, and contextual access policies in line with least-privilege principles and secure access standards.
• Manage and maintain the company’s MDM/EDR capabilities, ensuring endpoint visibility, policy coverage, timely updates, and organization-wide adoption.
• Review new tools, workflows, and third-party integrations, including SaaS, AI tools, MCPs, and plugins—and provide practical security guidance to reduce operational risk while enabling the business.
• Drive and improve the company’s security awareness program, helping users operate safely through practical guidance and support.
• Monitor emerging attacks, vulnerabilities, and threat actor tradecraft, and turn that knowledge into practical defensive improvements across the company.
• Apply adversarial thinking and practical threat modeling to identify realistic attack paths and improve operational resilience across user workflows, enterprise tooling, and internal systems.
• Help define and improve security policies, standards, best practices, and configuration baselines for internal systems and business tooling.

WHAT YOU BRING

• Fluency in English.
• Strong hands-on experience securing and operating enterprise SaaS and cloud platforms.Experience with identity and access management, contextual access controls, and secure administration of business-critical systems.
• Experience operating MDM/EDR and other endpoint security controls.
• Experience responding to security incidents, compromises, and breaches.Advanced cybersecurity experience, including exposure to sophisticated threat actors, knowledge of modern attacker tradecraft, and the ability to apply an adversarial mindset to defensive work.
• Experience conducting practical threat modeling with real operational impact.
• Experience assessing the security of third-party tools, integrations, and emerging technologies introduced into the business.
• Ability to perform open-source threat intelligence activities relevant to current threats and company exposure.
• Strong communication and cross-functional collaboration skills.
• Experience working in Agile environments.

Nice to have

• Experience in FinTech, crypto, or other fast-moving technology environments, with familiarity with blockchain ecosystems and decentralized security challenges.
• Experience with Python and/or JavaScript.
• Experience with on-chain threat monitoring and forensics.
• Experience using AI agents and agentic workflows to improve security operations.

ROOTIES BENEFITS

At RootstockLabs, we don’t just offer a job, we offer a community. Here’s what you can expect when you join us:

• Competitive compensation package and unique benefits designed to support your growth and well-being.
• 100% Remote Work from Europe / Latin America, with access to global CoWorking spaces.
• Work-Life Balance: Paid vacation and sick leave days
• Continuous Learning: Access to training programs, language courses, and learning sponsorship annually.
• Unique Projects: Work with cutting-edge blockchain technology in a global, diverse team.
• Monthly Allowance for Contractors to support your connectivity and well-being.

ABOUT ROOTSTOCKLABS  

RootstockLabs builds Bitcoin-secured DeFi infrastructure that enables companies and financial institutions to offer borrowing, lending, investment, and payment solutions at global scale.

• Market: Companies, financial institutions, and their customers
• Product: Bitcoin-secured DeFi financial products
• Distribution: B2B2C through regulated financial institutions

We operate at the intersection of crypto infrastructure and institutional finance, enabling compliant, scalable access to decentralized financial services powered by Bitcoin.

Location

Remote

About the Role

You will own the end-to-end delivery of our core platform that powers our ATS, Video, Scheduling, and Telephony integrations along with our flagship AI features. Working in lockstep with Product and Design, you’ll move quickly to design, build, and refine features throughout the entire stack from data pipelines, database performance, and prompt engineering through the backend, and all the way to frontend interactions. You’ll focus on the performance and stability of the platform along with new product features to enable integrations, AI, and customer workflows. You will work on the output quality of AI features and make sure users get accurate, on-brand AI outputs fast. You’ll work on real features people use every day—things like:

• Automatic video recording and transcription.
• AI Notes and Summaries.
• Ensuring the platform can scale and reliably record, transcribe, and generate AI summaries for over 250,000 interviews per month.
• Generating insights and advanced AI insights quickly and reliably for all of our recorded interviews.
• Customizable interview summaries that enable customers to create fully personalized AI-generated summaries using their own structure and criteria.
• …and more

What You’ll Bring

• You have plenty of experience building across the stack in Python and Javascript/Typescript, especially building out the backend logic, data models, and architecture.
• You have a deep understanding and experience with data pipelines, distributed architectures, and scaling applications in high-scale environments.
• You think deeply about how customer facing features work for end users and can make decisions with user empathy.
• You might have real world experience building generative AI applications end to end, building prompt chains, eval harnesses, vector search, and more.
• You’ve worked with both structured (SQL) and unstructured data (raw text) and know how to transform them and utilize them together.
• You have product instincts and work well with design.
• You move fast and independently, but you know when to pair and when to pull others in.

About our team

• You’ll have the opportunity to work on high-impact projects in small, autonomous squads, with the flexibility to lead initiatives or focus as an individual contributor depending on your goals and interests.
• Our developer experience is thoughtfully designed, with fast CI (< 10 minutes), 1-click deploys, strong observability, and a clean codebase that enables you to move quickly and confidently.
• Our culture supports sustainable, focused work with fully remote roles, regular working hours, no-meeting Wednesdays, and flexible time off to recharge when needed.
• Our team is composed of smart, collaborative, and genuinely kind people, creating an environment where you can learn, grow, and do your best work.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

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 a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which 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,  IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security. 

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts
• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features
• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices
• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role
• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains
• Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response
• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Consultancy experience performing web application security reviews
• Experience with securing distributed systems in AWS and cloud environments
• Experience with pentesting and securing agentic features and systems
• Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc
• Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. 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.

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 this role:

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.

Tech:

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

• You have work published in ICCV, ICML, Neurips, CVPR

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• 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.

At Trivelta, we build the technology that powers modern experiences partnering with online sports betting & casino operators to launch their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

The Role

As a Lead Backend Software Engineer you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a technical leader, this individual will be responsible for driving innovation, optimizing system performance, and ensuring the scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics.

Key Responsibilities

• Architect & Develop Backend Systems — Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.
• Ensure Performance, Security & Compliance — Optimize system performance, scalability, and reliability; implement security best practices; ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Manage Data Infrastructure — Build and maintain data pipelines to support analytics, fraud detection, geolocation controls, and regulatory reporting.
• Lead & Mentor — Provide technical leadership, guide engineers in best practices, and foster a culture of continuous learning and innovation.
• Drive Technical Strategy — Lead architectural discussions, evaluate emerging technologies in gaming/fintech/AI fraud detection, and align solutions with long-term company goals.
• Collaborate Cross-Functionally — Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.
• Ensure Operational Resilience — Lead incident response for outages or security events, implement proactive monitoring/alerting systems, and conduct root cause analysis for long-term fixes.

Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Expert hands-on expertise in Python for backend development, automation, and data processing.
• Skilled in API development, CI/CD, and infrastructure automation.
• Deep understanding of system performance tuning, security protocols, and regulatory compliance (AML, KYC, data privacy).
• Experience with data pipeline design, analytics integration, and geolocation-based access controls.
• Demonstrated leadership in mentoring engineers and making strategic architectural decisions.
• Excellent collaboration skills across product, finance, compliance, and support functions.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

 Requirements

• Ownership mindset — You take full responsibility for your systems and decisions, proactively identifying problems before they escalate.
• Clear communicator — You can translate complex technical concepts for non-technical stakeholders across product, compliance, and business teams.
• Resilience under pressure — You stay calm and focused during incidents, leading your team through ambiguity without losing sight of priorities.
• Team multiplier — You genuinely invest in the growth of the engineers around you, making the whole team stronger over time.
• Adaptability — You thrive in fast-moving environments where requirements change and you embrace new challenges as opportunities.

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

• Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
• Hands-on experience with ClickHouse or other columnar databases
• Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
• Solid understanding of Data Warehouse architecture
• Strong Data QA skills (identifying and resolving data issues)
• Experience with Power BI (building and maintaining reports)
• Ability to quickly understand business logic and translate it into data models
• High attention to detail
• English — B2 or higher (working proficiency)

Nice to Have

• Experience with data governance implementation
• Experience in high-load systems
• Experience working with product and business teams

Responsibilities

• Own data quality: identify, analyze, and fix data issues
• Translate business processes into reliable data structures
• Build and optimize ETL pipelines
• Deliver clean and structured data for analytics and BI
• Handle AdHoc analytical requests under tight deadlines
• Maintain and improve Power BI reporting
• Automate repetitive tasks
• Provide analytical support
• Train users on BI tools

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

Project Overview

We are sourcing independent 3D Modeling and Python Specialists to provide their expertise for a specialized AI 3D asset collection project. As AI models increasingly generate and interact with 3D environments, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce collision-accurate 3D meshes from 2D reference images, write procedural generation scripts, and deliver structured programmatic outputs (JSON/JS) to train AI systems on geometric construction and trajectory logic.

Project Deliverables & Scope

Operate autonomously to generate precise 3D assets and programmed outputs. Expected deliverables include:

• Procedural Geometry Generation: Writing Blender Python (bpy) scripts or Three.js/JavaScript code to procedurally generate 3D geometry using geometric primitives and Boolean operations (union, subtraction, extrusion).
• Mesh Alignment & Export: Producing collision-accurate meshes from 2D reference images (masked + RGB), capturing accurate screenshot alignments, and exporting assets to .obj, .glb, or similar formats.
• Structured Output & Trajectory Logging: Producing programmatic JSON/JS outputs representing the mesh and maintaining meticulous trajectory logs that capture sequential build actions for reproducibility.
• Quality Assurance & Workflow Adherence: Auditing all assets against strict quality checklists before submission, maintaining precise file naming conventions, and sustaining high-volume output within a structured annotation platform.

Required Expertise

To successfully fulfill the deliverables of this project, Contractors must possess a strong blend of 3D modeling fundamentals and programmatic scripting skills.

Core skillset includes:

• Demonstrable proficiency in Blender Python scripting (bpy) and/or Three.js/JavaScript. Note: You must be able to write code to generate outputs; GUI-only modeling experience will not qualify for this project.
• Deep understanding of geometric primitives (cubes, spheres, cylinders, cones) and Boolean operations, with a focus on low-poly construction rather than high-fidelity, subdivision-heavy sculpting (e.g., ZBrush).
• Proven experience creating collision-accurate 3D meshes from 2D reference images.
• Highly detail-oriented with the discipline to maintain trajectory logs, strictly follow file naming conventions, and self-audit work to maintain high reliability scores.
• Preferred Experience: Background in game asset creation, familiarity with screen recording/keylogging tools, or prior experience within AI/ML data annotation workflows.

We offer a fixed pay rate of $22 per hour. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Engagement Type: Freelance / Independent Contractor

Workplace Type: Remote

About the role

As a BizOps Associate at Grüns, you will apply strategic skills combined with your quantitative abilities and experience in data-driven analysis to drive growth, improve the bottom line, and surface new opportunities. You will work closely with talented, driven leaders across different departments to develop and test new strategies. You will actively influence product design and acquisition strategy to deliver compelling value to the customer while optimizing for the P&L. This role reports directly to Director, BizOps.

This role is part of our remote HQ! We have a fully remote, high-trust work environment - and also come together on a biannual basis for amazing off-sites where we can connect IRL.

In this role, you will:

• Identify business challenges and opportunities for improvement and leverage data in a creative and analytical manner to make strategic or tactical recommendations.
• Involve problem frameworks; develop hypotheses, tests, and analysis to inform solution development; lead implementation efforts; and develop monitoring plans for successful execution of projects.
• Build and navigate data comfortably to solve key business problems, answer ad hoc requests, and report on key metrics for needs both within the Finance team and across the business to key stakeholders.
• Develop & maintain financial models to forecast financial impact of new strategies, opportunities, and risks and measure actual performance against forecasts.
• Perform modeling/analytics to assist new product and pricing strategies.
• Support direct-to-consumer marketing efforts, evaluate new channels, and optimize existing strategies.
• Identify and refine KPI metrics to target to monitor business performance and improvement.

We're looking for someone who has:

• BS/MS Degree in a quantitative or computational field
• 4+ years experience in data analytics in corporate, consulting, or investment banking
• Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear, concise insights and recommendations through strong data-driven analyses
• High proficiency with Excel/Google Sheets and PowerPoint/Google Slides
• Expertise with SQL, with R and/or Python knowledge preferred
• Exceptional thought partnership skills, able to own direct relationships with stakeholders and build credibility through clarity and judgment
• Strong statistical skills and intuition for solving problems in both consumer-facing and internal product areas
• Experience with Cloud Computing (Google Cloud) platforms preferred

To Apply: 

Please enter your info and share a bit about yourself with us below. We ask that you do not use Chat GPT or similar tools to answer these questions, as it is our hope to genuinely get to know you and the way you communicate and think! We do love integrating these tools into our work though, and you’ll hear plenty more about that if you join us.

Compensation & Benefits:

At Grüns, we're committed to providing a competitive total compensation package — grounded in market data that considers our size, stage, industry, and location. For this role, the base salary range is $120,000-$135,000 depending on experience, paired with a comprehensive benefits package designed to support the well-being and growth of our team.

Job Summary

Actuary, Model Validation develops and maintains our Microsoft Excel based model validation tools for various use cases and product lines.  The tools are essential to our governance process and need to be maintained in an efficient manner.  This role will also ensure that we look for ways to continue to gain efficiencies in the process, possibly utilizing additional applications.

This position reports to the AVP, Model Validation and will manage 2 actuarial resource, including responsibilities for developing the actuarial staff.

Duties and Responsibilities

• Collaborating with various teams to understand required changes to Corporate AXIS models used for pricing, inforce management, ALM, and valuation purposes
• Independently updating the Microsoft Excel validation tools to incorporate the necessary changes using model change management controls and efficient programming algorithms
• Ensure validation tools are developed and maintained using efficient methods
• Serving as the F&G expert on the Corporate AXIS model validation tools by providing technical support and relevant training to other actuarial users that are internal and/or external to the team
• Developing and driving enhancements to create repeatable and scalable processes
• Maintaining comprehensive documentation
• Fostering a risk aware culture within the team
• Lead and manage actuarial staff, ensuring team goals are met while developing and implementing development initiatives to enhance the skills and knowledge of actuarial staff. Fostering a collaborative and growth-oriented environment.

Experience and Education Requirements

• Bachelor’s degree in mathematics, statistics, actuarial science or related field
• FSA preferred
• 5+ years of related actuarial experience
• Experience with and knowledge of reporting and modeling of US Statutory and US GAAP reporting preferred
• Experience with Fixed Indexed Annuity, Registered Index-Linked Annuity, or reinsurance thereon, preferred
• Experience with and knowledge of AXIS or similar actuarial modeling software preferred

Knowledge, Skills & Abilities

• Extensive experience with Microsoft Excel
• Experience with VBA, Python, R, or other programming languages preferred
• Strong problem-solving skills that include advanced analytical and reasoning abilities
• Demonstrate ability to apply actuarial principles to complex situations
• Unconditional integrity and commitment to delivering accurate information on schedule
• Team player with demonstrated ability to proactively identify issues and to influence key project decisions to achieve desired outcomes
• Self-starter who demonstrates strong initiative and is able to operate efficiently in unpredictable and challenging project environments
• Excellent verbal, written, interpersonal, and presentation skills (including communicating with and presenting to all levels of management)

Physical Demands and Work Environment

• Regular and punctual attendance
• Some travel required (less than 10%)

#LI-JB1

#LI-Remote

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote

Key Responsibilities

Trade & Platform Operations

• Monitor trading platforms to ensure uptime and execution quality
• Oversee trade flow, execution, and pricing in real time
• Identify and escalate execution issues, slippage anomalies, or pricing gaps
• Manage trading sessions, market openings/closings, and instrument configurations

Liquidity & Pricing

• Monitor liquidity feeds and ensure competitive spreads and depth
• Liaise with liquidity providers to resolve pricing or execution issues
• Analyze spread widening, latency, and execution quality (markouts, slippage)
• Assist in optimizing routing and aggregation settings

Risk & Exposure Monitoring

• Monitor client positions, exposure, and overall risk in real time
• Support hedging strategies and execution of risk mitigation actions
• Identify unusual trading activity or potential abuse (e.g., arbitrage, latency exploitation)

Trade Lifecycle Management

• Handle trade adjustments, corrections, and dispute investigations
• Ensure accuracy of trade records and reconciliation

Incident Management

• Act as first responder for trading-related incidents
• Investigate platform issues, outages, or abnormal market behavior
• Coordinate with tech teams and external providers to resolve issues quickly

Requirements

Experience & Skills

• 2+ years experience in trading operations, dealing desk, or brokerage environment
• Strong understanding of FX, CFDs, or crypto markets
• Familiarity with trading platforms
• Python scripting skills — ability to write and maintain automation scripts for monitoring, data extraction, reconciliation, and routine operational tasks.
• SQL skills — writing queries (joins, aggregations, window functions) against trading and client databases for investigation, reporting, and anomaly detection.

Soft Skills

• Strong attention to detail and ability to work under pressure
• Problem-solving mindset with quick decision-making ability
• Excellent communication skills

Working Conditions

• Shift-based role (aligned with global market hours)
• On-call availability for critical incidents may be required

KPIs / Success Metrics

• Platform uptime and execution quality
• Spread competitiveness and liquidity performance
• Incident response time and resolution efficiency
• Accuracy of trade handling and reporting

The Assistant Vice President (AVP) M&A & Reinsurance Risk Analyst is responsible for supporting the identification, assessment, monitoring, and mitigation of reinsurance transaction risks within the organization. This role involves working closely with pricing actuaries, corporate development, investments, and other functions to evaluate proposed reinsurance transactions. Through effective, in-depth challenge, this role will assure all key risks are identified and disclosed, assumptions are reasonable, pricing models are accurate, and transaction governance requirements are followed. The AVP will advise the SVP Life & Annuity Risk Officer and the Fortitude CRO on transactions prior to submission of offers.

This position will report into the SVP, Life & Annuity Risk Officer and will be an experienced technical contributor playing a key role in the risk oversight of Fortitude Re’s life and annuity reinsurance transactions.

This role will be based remotely.

What You Will Do:

• Review transaction documents including deal information memorandum, appraisals, product profiles, contracts, experience studies, and other materials associated with prospective transactions.
• Review pricing assumptions and internal underwriting diligence.
• Review the analysis of cedants’ experience to ensure sufficient diligence was performed, data is credible, and proper controls were employed in setting assumptions.
• Review investment strategies and their inherent risks in light of liabilities in a given transaction.
• Ensure pricing assumptions are reasonable in light of cedant’s experience, company experience, industry experience, and professional judgment.
• Validate pricing models and results.
• Review pricing model design, results, and the peer review (challenger) process.
• Recommend sensitivity and stress tests and evaluate their impacts.
• Perform independent validation of pricing models in their entirety or specific pricing results, including the development of replication models where necessary.
• Identify, assess, and communicate deal risks.
• Risks include, but are not limited to, actuarial assumption risk, investment risks (credit, ALM, liquidity), operational risk, regulatory and tax risk, and expense risk.
• Evaluate proposed risk mitigation strategies and their potential effectiveness.
• Document risks for management presentations and in ERM risk memorandums.
• Advise SVP L&A Risk Officer and CRO on deal economics and risks in advance of bid decision making.
• Ensure full compliance with the company’s transaction and pricing governance standards.

What You Will Have:

• Bachelor’s or advanced degree in actuarial science, mathematics, statistics, engineering, or comparable program of study.
• A minimum of 7 years of relevant insurance experience. Insurance product pricing experience is preferred, but not required, as diverse actuarial experience is invaluable. See key skill sets below for more information on experience needs.
• Fellow of the Society of Actuaries (FSA) or comparable accreditation is preferred. Career ASAs with very strong experience will be considered. 
• Quantitative risk management experience (such as investment management or quantitative finance) with sufficient applied insurance background will also be considered.
• Effective written and verbal communication skills.  
• Candidates must be able to collaborate effectively with others and quickly disseminate information. 
• Candidates must have a strong foundation of technical knowledge pertaining to life insurance and/or annuity products and their inherent risks.
  • Understanding diverse insurance product designs, product pricing principles, and ALM is critical.
  • Experience with pricing or other applied insurance ALM modeling is important.
  • Applied experience with Bermuda and/or Solvency II accounting and capital frameworks is a plus but is not required.
  • The company will consider candidates with varied backgrounds such as risk management, valuation, modeling, or pricing.
• Candidates should be inquisitive and active learners that seek to grow their understanding in all they do.
  • The nature of this role involves evaluation of diverse, often complex or incomplete, financial information.
  • Having the ability to independently analyze and draw insightful conclusions from such situations is critical to the role. 
  • The nature of this role may also require analytical research of technical and sometimes theoretical matters, where information is lacking, and expert judgment is required.
• Candidates should have technical proficiency in actuarial calculations, analyses and models. 
  • Candidates for this role should have well-developed modeling skills with the ability to use / review work in current actuarial software platforms such as AXIS, MG ALFA, or comparable.
  • In addition, candidates should have the ability to develop solutions as needed in programming and/or database languages to perform analyses. 
  • Proficiency in one or more of the following is required: Python, VBA, SQL, C, or similar.  

#LI-Remote

This AVP, Modeling role reports to the VP, FACET Modeling Actuary. The Fortitude Analytics and Computational Evaluation Tool (FACET) is an in-house build actuarial modeling platform supporting statutory, GAAP, capital, hedging, embedded value, and long-range projection use cases. The platform is in a rapid-moving phase to standup and expand. The AVP, Modeling Actuary will play a critical role to ensure the timely delivery of modeling capacities with operation integrity, and ensure FACET remains stable, auditable, scalable, and aligned with enterprise financial and risk objectives. 

This role will be based remotely.

What You Will Do: 

• Support FACET actuarial modeling platform standup and expansion.
• Work closely with model developers and end users to ensure timely delivery of functionalities. 
• Ensure proper design and change management of data, actuarial code, interface and pipeline automation.
• Test and validate cross-module model changes.
• Ensure FACET supports enterprise ALM use cases including:  
  • Long-Range Projections (LRP) 
  • Embedded Value (EV)
  • Pricing (challenger and production applications) 
  • Capital / BSCR 
  • AIL / SBA / CFT 
• Assist for proper documentation of modeling and methodology changes to the Governance Committee where required.
• Ensure proper model development life cycle.

What You Will Have:

• Bachelor's degree in finance, mathematics, statistics, computer science or related field.
• 7+ years of progressively more responsible actuarial experience with Life Insurance, Annuity products or ALM equivalent environment.
• Proficient in Python, Julia, SQL, GitHub and standard modeling tools and technology.
• Demonstrated analytical ability to analyze large and complex data sets and deliver insights to drive business decisions.
• Ability to work in a dynamic professional environment and handle multiple projects and deadlines.
• Ability to build relationships and communicate effectively across multiple levels and functions.
• Experience transitioning from vendor modeling platforms to internally developed solutions, preferred. 
• Ability to use/review/validate AI-generated code, preferred.
• Familiarity with open-source development practices, version control, CI/CD, and testing frameworks, preferred.

#LI-Remote

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Senior Software Engineer who cares deeply about building secure, high-quality software—and wants to work on problems that actually matter.

We are a great home for people who are intrinsically motivated—proud of their craft and excited to build with a high-bar team that expects great work and supports you.

You’ll design, build, and operate core components of HYPR’s security platform, used by Fortune 500 companies:

• Passwordless authentication and identity verification systems built on open standards
• W3C-compliant authentication servers and large-scale distributed systems
• Security-focused infrastructure and application workflows
• Emerging capabilities at the intersection of cybersecurity and AI

“If you're passionate about cyber security, scalable architectures, and impactful engineering, HYPR will be a great fit for you.”

What you will do in this role

• Design, develop and deploy SaaS services end-to-end—from understanding requirements and designing solutions to deployment, production support, scalability and performance
• Be on the fore front of AI-native SDLC by using agents throughout design, coding, testing, and documentation
• Research new technologies and solutions to improve existing products and explore new directions
• Implement comprehensive automated testing at the component level and collaborate with SDET(s)
• Participate in standards bodies and shape next-generation standards like W3C, WebAuthn, and OAuth
• Work directly with customers - product calls to understand the problems and an on-call rotation of incident escalation

Who you are

• Self-starter—able to dive into an existing product and learn quickly in a fast, hands-on environment
• Team player—collaboration with team members, operations, and support teams is critical
• Detail-oriented—takes pride in writing high-quality, maintainable code and following best practices
• Security-minded—interested in the cybersecurity domain; previous exposure or participation is a plus
• Autonomous and accountable—takes ownership of work and drives it to completion; actively assists in the production support aspects of your work as needed

Required Qualifications

Expert-Level

• Java SE 21+ and Spring/Quarkus
• Kubernetes or another container orchestration platform
• Cloud-first development experience—AWS, Azure, or similar
• Datastores, one or more of: MySQL, Oracle, DynamoDB, Redshift, Redis

Strong

• CS algorithms, data structures, clean code, and scalability design patterns
• Scalable services—multi-region, graceful degradation, and elastic capacity
• One major JS framework—Angular, React, or Vue
• Observability techniques and tools—events, metrics, OpenTelemetry
• Continuous deployment methodologies—unit, acceptance, and load testing approaches
• Kotlin development experience

Preferred

• Authentication protocol knowledge is highly valued—OAuth, SAML, WebAuthn, PKI, Kerberos, FIDO/FIDO2
• Keycloak, Ping or Okta authentication server
• One Infrastructure as Code (IaC) tool—Terraform, Helm, AWS CloudFormation
• Dynamically typed language—Python, Ruby, or similar

Experience

10+ years of experience designing, building, and maintaining an enterprise web-based platform that services at least 100K users. Can be SaaS or on-premise

Education

BS/MS in computer science or a related software engineering field.

What HYPR Offers

• Long-Term stability within a high-growth sector within identity access automation.
• Majority of HYPR engineers are Senior; you’re joining a team of all-stars who consistently deliver the highest quality code and products on tight timelines.
• Strong support for work–life balance, with flexibility to meet family and personal responsibilities. We offer a generous amount of PTO and wellness days.
• Emphasis on collaboration, with paid weekly team lunches in office (some variations by country).
• Employer-paid supplemental medical coverage (some variations by country).
• Paid access to leading industry conferences and opportunities to participate in standards bodies, including FIDO and OAUTH.
• Extreme product focus with high levels of ownership and autonomy—you’ll work on cutting-edge, high-impact problems, bringing together your own insights to drive meaningful outcomes

Full Time Opportunity: Yes

Remote: Yes

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Software Development Engineer in Test (SDET) who cares deeply about building secure, high-quality software—and wants to work on problems that actually matter.

We are a great home for people who are intrinsically motivated—proud of their craft and excited to build with a high-bar team that expects great work and supports you.

You’ll work on HYPR’s cyber security platform, used by Fortune 500 companies:

• Collaboration: Work with developers to understand product architecture and identify issues early.
• Automation Frameworks: Design, build, and maintain automated test frameworks
• Code Quality: Develop automated test scripts and tools using Java, Python, or JavaScript.
• CI/CD: Integrate automated tests into Continuous Integration/Continuous Delivery pipelines.

“If you enjoy solving difficult engineering challenges and want to help define the future of secure authentication, we’d love to talk.”

What you will do

• You will break up complex features into clear, automatable tests and build testing solutions that scale well
• You will test mobile and desktop applications, SaaS services, platform scalability and database migrations
• Partner with engineering teams to enable our Continuous Delivery pipelines to have strong automated test coverage, stable environment setup/teardown, and reliable quality gates
• You will learn new systems and integrations quickly and be able to communicate the challenges and advantages clearly
• You will participate in the full development life cycle, adding your insights to requirements, designs and code reviews

What you have done

• Bachelor's degree in Computer Science or related field of study (Master's preferred)
• Strong CS fundamentals, including data structures and algorithms
• 8+ years of automation experience
• Experience working in a Continuous Delivery environment—frequent releases, automated testing gates, CI/CD pipelines, environment automation
• Interest in or experience with AI-assisted development workflows, as HYPR is moving toward an AI-native engineering model
• Experience with BDD/Selenium automation across mobile drivers, BrowserStack, or similar
• Experience testing SaaS platforms or complex distributed systems
• Experience with Git Flow and tools such as Gitlab, Artifactory and Jira

Nice to Have

• Knowledge of identity management systems, such as MS Entra or similar
• Experience testing Windows and Mac desktop applications
• Experience testing with virtual machines
• Good working knowledge of cross-browser and cross-device testing

What HYPR Offers

• Long-Term stability within a high-growth sector within identity access automation.
• Majority of HYPR engineers are Senior; you’re joining a team of all-stars who consistently deliver the highest quality code and products on tight timelines.
• Strong support for work–life balance, with flexibility to meet family and personal responsibilities. We offer a generous amount of PTO and wellness days.
• Emphasis on collaboration, with paid weekly team lunches in office (some variations by country).
• Employer-paid supplemental medical coverage (some variations by country).
• Paid access to leading industry conferences and opportunities to participate in standards bodies, including FIDO and OAUTH.
• Extreme product focus with high levels of ownership and autonomy—you’ll work on cutting-edge, high-impact problems, bringing together your own insights to drive meaningful outcomes

Full Time Opportunity: Yes

Remote: Yes

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

Job Title: Director, Actuarial Pricing (FSA)
Location: Remote

Position Summary

Horace Mann is seeking a Director of Actuarial Pricing to lead pricing strategy and execution for our Group and Supplemental Benefits portfolio, with a focus on products serving educators and public service employees. This role will play a critical part in driving profitable growth through innovative pricing, data-driven insights, and strong cross-functional leadership.

The ideal candidate is an FSA with deep experience in Group and/or Supplemental Benefits pricing, a strategic mindset, and the ability to translate complex actuarial concepts into actionable business decisions. 

Key Responsibilities

• Lead the development and execution of pricing strategies for Group and Supplemental Benefits products (e.g., group life, disability, and voluntary/worksite benefits)
• Own pricing assumptions, methodologies, and governance to ensure alignment with profitability and risk objectives
• Partner closely with Product, Underwriting, Finance, Distribution, and Claims to support new product development, rate actions, and in-market strategy
• Evaluate product performance, emerging experience, and competitive positioning to recommend pricing and product adjustments
• Oversee the development, enhancement, and governance of actuarial pricing models
• Provide actuarial leadership for rate filings, regulatory compliance, and internal review processes
• Present pricing recommendations and business insights to senior leadership and key stakeholders
• Lead, mentor, and develop actuarial talent, fostering a high-performing and collaborative team environment
• Drive process improvements, automation, and the adoption of advanced analytics in pricing 

Qualifications

• Bachelor’s degree
• Fellow of the Society of Actuaries (FSA) designation required
• 6+ years of actuarial experience, with significant experience in Group and/or Supplemental Benefits pricing
• Strong understanding of pricing frameworks, risk management, and insurance product design
• Knowledge of regulatory environments and rate filing processes for group and supplemental insurance products
• Experience developing and managing actuarial models; familiarity with modeling tools such as MG-ALFA is a plus
• Advanced proficiency in Excel; experience with SQL, R, Python, or similar tools preferred
• Excellent communication and presentation skills, with the ability to influence senior stakeholders
• Strong business acumen and ability to balance technical rigor with practical decision-making

Preferred Qualifications

• Experience with educator-focused or affinity group insurance markets
• Demonstrated leadership experience, including managing or mentoring actuarial staff
• Experience leading cross-functional initiatives or strategic projects 

Why Horace Mann

• Mission-driven organization focused on serving educators and those who serve our communities
• Opportunity to shape pricing strategy and product innovation at a leadership level
• Collaborative culture with strong actuarial and business partnerships
• Competitive compensation, benefits, and flexible work arrangements

Salary Range: $124,200.00 - $175,800.00 

• Salary is commensurate to experience, location, etc.

We are building a brand-new AI product and are looking for a technical Senior Product Manager to lead it from concept to market. This is a greenfield opportunity: you will define what the product is, who it serves, and how it works. A core part of this vision is leveraging Customer Data Platform (CDP) capabilities to unify merchant customer data and power intelligent, personalized messaging experiences at scale.

You will partner closely with machine learning engineers, prompt engineers, product designers, and product engineers — and you'll be expected to go deep technically, not just facilitate. You can read code, write SQL, interrogate data pipelines, and stress-test ML model outputs firsthand.

All positions at Postscript are fully remote.

Primary Duties

• Own the end-to-end product lifecycle for a new AI product, from discovery through launch and iteration
• Define product vision, strategy, and roadmap grounded in deep customer understanding, AI/ML feasibility, and ecommerce CDP architecture
• Architect and drive CDP strategy — including customer identity resolution, behavioral event ingestion, real-time profile unification, audience segmentation, and downstream activation — with enough technical depth to make meaningful build vs. buy decisions
• Define the data contracts and schema design governing how first- and zero-party data flows from Shopify storefronts into unified customer profiles, and how those profiles are consumed by AI models and automation systems
• Partner directly with MLE and prompt engineering to evaluate model capabilities, define evaluation harnesses, set guardrails, and co-design human-in-the-loop experiences — not just review specs, but participate in technical design reviews
• Partner with Engineering to design segmentation and activation frameworks that enable merchants to reach the right customer with the right message at the right moment, powered by real-time CDP data signals
• Design and run rapid experiments to validate hypotheses; define success metrics, instrument tracking, and analyze results yourself where possible
• Write rigorous product specs, success criteria, and evaluation frameworks for AI features — covering accuracy, latency, safety, and user trust
• Collaborate cross-functionally with engineering, design, CSMs, and leadership to ship and iterate
• Develop and maintain a deep competitive understanding of the AI and CDP landscape in ecommerce/SMS
• Serve as the internal and external evangelist for the AI product vision

What We'll Love About You

• 5+ years of product management experience, with 2+ years owning AI/ML-powered products in a hands-on technical capacity
• Strong technical foundation — you have an engineering, data science, or comparable background; you're comfortable in code reviews, data model discussions, and system design conversations
• Direct, hands-on experience with CDP architecture — you understand event streaming, identity graphs, audience segmentation pipelines, and real-time data activation, and can evaluate tradeoffs in how they're built
• Fluency with ecommerce data models: purchase history, browse behavior, LTV, churn signals, RFM segmentation, and how these signals feed personalization and predictive ML models
• Direct experience taking a product from zero-to-one; you've made foundational technical and architectural decisions, not just roadmap ones
• Experience in ecommerce SaaS, martech, or messaging platforms is highly preferred
• Deep technical fluency with AI/ML: you can discuss model architectures, prompt engineering, fine-tuning, evaluation metrics, and data pipelines as a peer — not just a stakeholder
• You write SQL, read Python, and can instrument your own analytics — you don't wait for a data analyst to answer your product questions
• Understanding of data privacy, consent, and compliance (TCPA, GDPR, CCPA) as they apply to CDP data collection, storage, and activation at scale
• Strong product intuition for when AI adds real value vs. when it doesn't — you are not an AI hype person, you are an AI pragmatist
• Demonstrated ability to ship fast, learn from data, and iterate — you prefer a working v1 over a perfect PRD
• Excellent written and verbal communication; you can translate complex technical concepts for merchants, CSMs, and executives without losing precision
• You have built something with AI tools — a prototype, a script, an internal tool. You don't just spec; you ship. Bonus if you can show us.

What You'll Love About Us

• Salary range of USD $150k–$206k base plus significant equity (we do not have geo-based salaries)
• High-growth startup — plenty of room for you to directly impact the company and grow your career
• Work from home (or wherever)
• Fun — we're passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance

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.

The Control Plane Team is responsible for developing the orchestration and horizontal autoscaling of the Lucenia core search platform. This system layer is designed and developed to run in cloud-native, self-hosted, or a hybrid of both environments.  

In this role, you will be working on the team responsible for developing the Kubernetes based orchestration and auto scaling framework of the Lucene Search data plane and packaging it as a product that runs self hosted, cloud-native, or in hybrid modes. You will ensure compatibility and integration with other vendor offerings such as AWS, Azure, GCP, and/or RedHat OpenShift. You will also be responsible for building the services that power and provide Lucenia’s own SaaS platform. You will work across other functions, including engineering, quality control, performance benchmarking, support, content marketing, and executive leadership to build and market new features, capabilities, and offerings.

What you will do

• Work with a distributed team of experienced engineers focused on delivering self-hosted, cloud-native, and/or SaaS serverless offerings
• Develop container-based workflows with efficient autoscale in connected and disconnected environments.
• Design and develop a collection of processes that coordinate and manage the cluster’s state and scheduling decisions across the data plane. 
• Implement Kubernetes operators/controllers and helm charts with deployment responsibilities in production environments
• Collaborate across engineering, quality control, and leadership teams to execute on product deliverables.
• Invent ideas, collaborate with others, and own solutions from inception to deployment
• Mentor new team members

What you bring 

• Knowledge of the Go programming language 
• Deep understanding of distributed systems and cloud native technologies such as kubernetes, docker, and OCI container registries and systems level integration for serverless autoscaling  
• Experience working with cloud vendors such as AWS, Microsoft Azure, Google Cloud Platform, Red Hat OpenShift and/or Oracle Cloud
• Familiar with vendor and open source object storage technologies and their role in stateful and stateless system orchestration
• Strong understanding of cost benefit trade offs during design and implementation phases.
• Familiar with SAML, LDAP, Active Directory, Single Sign On identity management technologies (e.g., Okta Auth0) and integration with cloud native deployments.
• Strong analytical, debugging, and troubleshooting skills
• Ability to communicate well with individuals and groups to accomplish a common set of goals

Bonus 

• Experience working with OpenSearch and/or Elastic Stack
• Strong scripting skills (e.g., groovy, gradle, python, javascript) 

🚀 Hermes Web: Call for Founding Engineer

Hermes Web is looking for a founding engineer to build the first polished, hosted personal AI agent product.

Some facts about us:

• Incubated by Open Core Ventures, the studio founded by Sid Sijbrandij (ex-CEO of GitLab)
• Building the hosted, non-technical-user version of Hermes Agent — the fastest-growing open-source agent framework after OpenClaw
• OCV underwrites infrastructure and LLM costs, so you optimize for growth and polish, not unit economics
• Fully remote, product-focused, compressed sprint cadence

If you want to own product and engineering end-to-end, ship consumer-grade polish in a space that's still raw, and help define what a mainstream AI agent product looks like, this is for you.

Project described below.

Requirements

• High agency, ship fast without hand-holding
• Strong Python skills — FastAPI or similar production web framework experience required
• Strong frontend skills (React, Next.js, TypeScript) for the chat, memory, and activity surfaces
• Experience with auth, billing, and multi-tenancy in production products
• Container orchestration experience (Kubernetes, Nomad, ECS, or equivalent)
• Experience with AI-native tools (Cursor, Claude Code, model APIs)
• Knowledge of agents, LLM gateways, rate limiting, and abuse prevention
• Comfortable working across frontend, backend, infrastructure, and AI workflows

The kind of person we want: someone who has shipped a consumer or prosumer product they're still proud of, and who responds to an aggressive timeline with "tight but doable if we cut X, Y, Z" rather than "let me spec it first."

Bonus skills:

• Experience with agent frameworks (Hermes, OpenClaw, LangGraph)
• LLM gateway or proxy work
• Stripe subscription billing at scale
• Production experience hardening agentically-generated code
• OSS contributions
• Consumer AI product experience (Cowork, Cursor, or similar)

Project: Hosted Hermes Agent Platform

1. Introduction

We are building a multi-tenant hosted platform that gives anyone their own personal Hermes agent running in the cloud in under 60 seconds. No terminal, no API keys, no configuration. The agent persists, remembers them, and gets better over time.

This project includes:

• Per-user Hermes containers with network and storage isolation
• A warm pool provisioning system for instant signup-to-first-message
• A production-hardened chat, memory, and activity interface
• An LLM gateway that meters usage, enforces caps, and prevents abuse
• Bundled Claude Sonnet access — users never see an API key or model selector
• Stripe billing infrastructure and self-serve subscription flows

2. Requirements

Platform and provisioning

• Per-tenant container orchestration via Kubernetes or Nomad
• Warm pool pattern for sub-90-second provisioning
• Idle sleep and fast wake (under 2 seconds on incoming message)
• Persistent per-tenant memory and conversation storage
• Auth via Clerk or Auth0 (email + Google OAuth, email verification required)

Frontend

• React, Next.js, TypeScript, Tailwind, shadcn
• Multi-tenant chat, memory, and activity surfaces
• Graceful handling of connection loss, agent timeouts, container restarts
• Streaming responses, conversation history, new-thread flows

LLM gateway

• Proxy every Anthropic API call from every tenant container
• Hold Anthropic API keys server-side; tenant containers never see them
• Per-tenant metering with second-by-second granularity
• Hard daily and monthly cost caps
• Circuit breakers for runaway loops
• Ops kill switch for any tenant

Billing and ops

• Stripe subscription integration at $20/mo
• Self-serve upgrade, downgrade, cancel
• Internal ops dashboard for user management and anomaly response
• Runbooks for common failure modes

3. Non-Goals

• Developer-facing platform
• Self-hosted desktop or mobile apps
• Skills marketplace or plugin ecosystem
• Workflow builder, triggers, scheduled agents
• Team accounts, SSO, enterprise features
• Multiple LLM providers or model selection
• Bring-your-own API key
• Forking Hermes — we track upstream and contribute back

4. Prior Art

• Hermes Agent — the open-source framework we build the hosted experience on top of
• OpenClaw — the largest agent framework today and reference for community patterns and growth dynamics
• LangGraph Deep Agents — architecture patterns for stateful long-running agent workflows
• Anthropic MCP — server design patterns for tool interfaces and permission-aware context
• Cowork (Anthropic) — polish bar and UX patterns for non-technical AI agent products
• Cursor agent UI — interaction model for AI agents in consumer products

Bridgeway is seeking a Director, Quality Assurance to join our Technology team. This leader will not only define and drive the QA strategy but will also actively engage in the design, development, and execution of testing solutions. The Director, QA will lead by example—remaining close to the code, automation frameworks, and testing practices—while building a high-performing team and ensuring delivery of high-quality software products that meet business, regulatory, and customer requirements. This role manages QA Engineers and QA Analysts, develops scalable testing strategies, and drives continuous improvement across processes, tools, and methodologies. The ideal candidate thrives in a player-coach capacity, balancing strategic leadership with direct technical contribution. This role will work closely with Product, Engineering, and Operations to embed quality throughout the software development lifecycle (SDLC). 

This is a remote position, with occasional travel. East Coast candidates preferred. 

Key Responsibilities: 

• Lead as a hands-on, player–coach QA leader, contributing directly to test automation design, framework development, code reviews, and the resolution of complex quality and production issues.
• Define, implement, and evolve the overall QA strategy, standards, and best practices across manual and automated testing, ensuring alignment with business, regulatory, and customer requirements.
• Architect and scale modern automation frameworks and CI/CD-integrated testing solutions, driving increased test coverage, reliability, execution speed, and long-term maintainability.
• Own the end-to-end test lifecycle, including test planning, test case design, regression strategy, execution, defect management, and reporting, ensuring processes are repeatable, data-driven, and effective.
• Ensure comprehensive quality coverage across all testing dimensions, including functional, regression, integration, performance, and security testing.
• Embed quality deeply within Agile, Scrum, and DevOps workflows, promoting a shift-left testing culture focused on early validation, defect prevention, and continuous feedback throughout the SDLC.
• Leverage metrics and insights to drive decisions, providing clear visibility into quality trends, release readiness, risks, and outcomes to technical and executive stakeholders.
• Continuously improve QA processes, tooling, and execution, identifying bottlenecks and risks, piloting new technologies, prioritizing initiatives effectively, monitoring execution, and adjusting course as needed. 
• Build, lead, and mentor a high-performing QA team, fostering a culture of collaboration, accountability, and continuous improvement. This includes hiring, setting and monitoring individual performance objectives, career development, performance appraisals, and providing regular feedback and coaching.
• Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
• Build and maintain productive relationships across departments, navigating organizational complexity and silos.  
• Lead and/or contribute to cross-functional initiatives and change efforts.  
• Communicate clearly and persuasively, adapting messages for diverse technical and business stakeholders across levels and functions. 

Qualifications:  

• 7+ years of experience in software quality assurance, including 3+ years leading and managing QA teams delivering commercial software products (SaaS, on‑prem, and/or mobile).
• Proven experience leading in a hands‑on technical leadership role, balancing people leadership with direct contribution to test automation, reviews, and complex quality issues.
• Strong technical expertise in test automation, including designing, building, and maintaining scalable, maintainable automation frameworks and contributing production‑quality code.
• Proficiency in Python and working knowledge of the .NET framework.
• Deep experience with modern test automation tools and frameworks such as Playwright, Selenium WebDriver, TestNG, Cucumber, and SmartBear tools (TestComplete, ReadyAPI or similar).
• Demonstrated experience integrating automated testing into CI/CD pipelines and DevOps toolchains (e.g., Azure DevOps or comparable platforms).
• Hands‑on experience with test management and defect tracking tools, and ownership of test planning, execution, and reporting practices.
• Strong analytical and problem‑solving skills, with experience using quality metrics and data to assess risk, inform release decisions, and drive continuous improvement.
• Extensive experience delivering software in Agile/Scrum environments with frequent release cadences.
• Passion for modernizing QA practices, including automation‑first strategies and movement toward cloud‑native (PaaS) architectures.
• Bachelor's degree in Computer Science, Software Engineering or related discipline 

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 looking for a Senior Systems Analyst to lead complex data migration efforts for our customers. In this role, you’ll own the end-to-end migration lifecycle – working directly with customers to analyze, map, transform, and validate data as it moves from legacy systems into Bridgeway’s platform. 

This is a hands-on, customer-facing role for someone who is comfortable solving problems in real time and driving migrations to a successful go-live. 

Responsibilities: 

• Lead full-cycle data migrations across multiple customer projects (discovery → mapping → transformation → validation → go-live)
• Act as the primary technical contact for customers, guiding data strategy, surfacing risks, and managing expectations
• Collaborate with Business Analysts and other Professional Services teams to understand data requirements, provide data analyses to assist with the configuration of our software, and accurately map data to meet customer needs
• Analyze and validate large, complex datasets using advanced SQL
• Build and execute ETL/ELT processes (SSIS, Talend, Informatica, or similar)
• Develop data mapping logic, transformation rules, and validation strategies
• Identify and resolve data quality issues through profiling, cleansing, and root cause analysis
• Work across file formats (CSV, Excel) to support data exchange
• Plan and execute cutover activities, including go-live coordination and validation sign-off
• Partner with internal teams to troubleshoot issues and ensure accurate data delivery
• Mentor junior team members and contribute to improving migration processes and standards 

Requirements: 

• 5+ years of experience in data migration, warehousing, systems analysis, or ETL-focused roles
• Bachelor’s degree in Computer Science or a related field
• Advanced SQL or Python skills (complex queries, joins, performance tuning)
• Hands-on experience with ETL/ELT tools (SSIS preferred)
• Experience with scripting (Python or PowerShell) for automation
• Proven ability to manage multiple migrations at once without dropping the ball
• Strong customer-facing communication skills—you can explain technical issues without hiding behind jargon
• Use and understanding of data dictionaries, source to target mapping, and relational database concepts required
• High attention to detail and a problem-solving mindset
• Exposure to AI for data analysis, validation, or development a plus
• Databricks, Snowflake or similar a plus 

Bridgeway is an equal opportunity employer.

Growe welcomes those who are excited to:

• Define key metrics and methodologies for Marketing and CRM analytics, align them with overall business goals, and assist in efficient decision-making;

• Identify opportunities and issues through data analysis, bring insights, and present them in an easy, actionable way;

• Work independently and autonomously, collaborating closely across Marketing, Finance, and Product to provide regular updates on the effectiveness of all marketing channels on the acquisition pipeline;

• Maintain data integrity from various sources, actively challenge and improve existing data flows;

• Contribute to the enhancement of accuracy, reliability, and overall data quality;

• Develop user-friendly Tableau dashboards to monitor primary Marketing and CRM KPIs, both existing and new;

• Recommend innovative ideas for optimizing marketing performance and efficiency;

• Lead automated reporting for timely and accurate information delivery.

We need your professional experience:

• At least 3 years of analytical experience, preferably in B2C marketing analytics;

• Understanding of multi-touch attribution mechanisms;

• Advanced proficiency in SQL;

• Proficiency in Tableau or similar tools;

• Solid statistical knowledge and experience in using statistics to analyze complex data;

• At least an Intermediate level of English;

• Familiarity with GIT and Airflow is a plus;

• Experience with Python libraries is also a plus.

We appreciate those skills and personal features:

• Capability to work self-sufficiently;

• Attention to detail and strong work ethic;

• Proactive and result-oriented mindset.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

Role Overview:

We are looking for an Software Engineer, AI Systems to help build the backend architecture behind our emerging agent systems. This role sits at the intersection of software engineering, data infrastructure, and applied AI. You will work across the stack to design and implement systems that power LLM-driven product capabilities — from orchestration and tool integration to evaluation and production deployment. You’ll collaborate closely with product managers, designers, and engineers to bring AI-powered workflows directly into our underwriting platform. This is a high-impact role with significant ownership over both experimentation and production implementation. This role is ideal for engineers who enjoy working across layers of the stack and are excited about shaping how agent systems operate inside real production software.

What You'll Be Doing:

• Design and implement agent workflows and orchestration systems for AI-powered product features
• Build backend services that integrate LLMs with structured insurance data and platform APIs
• Develop infrastructure for tooling, context management, and agent execution
• Contribute to internal frameworks supporting prompt iteration, evaluation, and observability
• Partner with product and design to translate underwriting workflows into AI-enabled product experiences
• Help define architectural patterns for building reliable AI-native features in production
• Work across backend systems, data infrastructure, and product integrations to ship user-facing capabilities

Who We Hope You Are:

• 10+ years of experience in backend engineering, data engineering, or related roles
• Strong experience building production backend systems and APIs
• Professional experience working with LLMs, agent systems, or generative AI applications
• Hands-on experience with prompt design, tool-based agent architectures, or LLM workflows
• Proficiency in Python or similar backend languages
• Experience working with cloud infrastructure and distributed systems
• Comfort working across layers of the stack, from infrastructure to product integration
• Strong curiosity about emerging AI architectures and agent patterns
• Comfortable navigating ambiguity and working in a fast-paced, collaborative environment

Bonus Points if...

• Experience building production systems involving LLMs, agents, or prompt pipelines
• Experience designing internal platforms or developer tooling
• Familiarity with insurance, fintech, or B2B SaaS
• Contributions to open-source AI or data infrastructure projects
• Experience with Typescript

Why This Role Matters

You will help build the core infrastructure that powers the next generation of Federato’s platform. Your work will shape how AI systems interact with underwriting workflows and how intelligent automation is delivered to customers. This is an opportunity to work on foundational architecture for agent-driven software, with real-world impact in one of the world’s largest industries.

Base Salary: $215,000 - $250,000 a year
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 includes stock options, benefits and additional perks. 

Nosso Modo de Fazer no Time:

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário:

• Colaborar com membros da equipe para coletar requisitos de negócio e projetar modelos de dados.

• Construir confiança em todas as interações e fornecer os dados mais completos, confiáveis e precisos para a empresa.
• Projetar, desenvolver e estender código ETL e pipelines de dados para expandir o Data Lake Empresarial.
• Criar e manter documentação de arquitetura e sistemas.
• Manter conjuntos de dados principais ou produtos de dados atualizados no Catálogo de Dados para apoiar análises de Self-Service e Fonte Única da Verdade.
• Desenvolver código que atenda aos nossos padrões internos de estilo, manutenibilidade e melhores práticas para um ambiente de dados de alta escala. Manter e defender esses padrões através de revisão de código.
• Aprovar mudanças em modelos de dados como Revisor da Equipe de Dados e ser responsável por conjuntos de dados específicos e esquemas de modelos de dados.
• Compartilhar expertise em modelagem e transformação de dados para todas as equipes do iFood através de revisões de código, pareamento e treinamento para ajudar a entregar designs e consultas otimizados e escaláveis de conjuntos de dados ou produtos de dados no Databricks. 

Ingredientes Que Buscamos:

• Disposição para aprender coisas novas todos os dias.
• Habilidade com SQL, Python e Spark.
• Excelente comunicação: Alcançar consenso regularmente entre equipes técnicas e de negócio.
• Capacidade demonstrada de comunicar de forma clara e concisa atividades complexas de negócio, requisitos técnicos e recomendações.
• 2+ anos na área de Dados como analista, engenheiro ou equivalente.
• 2+ anos de experiência projetando, implementando, operando e estendendo modelos de dados empresariais (dimensionais ou não).
• 2+ anos trabalhando com Banco de Dados ou Data Warehouse de grande escala, preferencialmente em ambiente de nuvem.
• Inglês técnico.
• Desejável: Experiência com Databricks, Airflow e AWS.

Para Realçar o Sabor:

• Experiência prática em inteligência artificial.
• Habilidade para gerar indicadores mensuráveis e identificar mudanças necessárias.
• Capacidade de se adaptar rapidamente a novas tecnologias e desafios.
• Interesse em promover a cultura de colaboração e troca de conhecimentos.

Buscamos uma pessoa apaixonada por tecnologia e dados, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

We’re looking for a Security Test Engineer to design and execute test strategies that ensure the robustness and integrity of advanced silicon and IP products. You’ll work across teams to identify vulnerabilities, validate hardware security, and support certification and manufacturing readiness.

Responsibilities

• Define and implement test plans, coverage goals, and design-for-test (DFT) strategies for secure ICs and cryptographic IP.
• Conduct hardware-level vulnerability testing, including fault injection and side-channel analysis.
• Develop automated security test procedures and data analytics for test evaluation.
• Support product qualification, certification, and release-to-manufacturing processes.
• Collaborate with manufacturing teams to maintain security integrity in production.
• Prepare comprehensive documentation and technical reports.
• Mentor team members in hardware security testing best practices.

Qualifications

• 8+ years of experience in semiconductor test, validation, or hardware security evaluation.
• BS/MS in Electrical or Computer Engineering or related field.
• Strong understanding of cryptographic principles, hardware security modules, and tamper-resistant design.
• Hands-on experience with Automated Test Equipment (ATE) or custom hardware setups.
• Proficiency in C/C++, Python, or Tcl for test automation.
• Knowledge of analog/mixed-signal fundamentals and secure memory design.
• Familiarity with standards like FIPS 140-3, Common Criteria, or ISO/IEC 17825.
• Excellent analytical, documentation, and communication skills.

We’re seeking an Embedded Systems Engineer with a passion for secure hardware design and cryptography. In this role, you’ll work at the intersection of hardware and software, contributing to the architecture and implementation of hybrid cryptographic systems that protect data at the chip level.

Responsibilities

• Design and implement hybrid cryptographic solutions within secure hardware architectures (e.g., hardware root of trust).
• Develop co-design modules for cryptographic algorithms, optimizing for performance and resource usage.
• Implement HDL modules (VHDL/Verilog) and associated embedded software in C and Python.
• Conduct integration and validation of cryptographic components in embedded environments.
• Participate in system-level testing, verification, and performance analysis.
• Support threat modeling and design reviews to enhance security robustness.
• Prepare design documentation, test reports, and implementation guides.
• Collaborate with multidisciplinary teams across hardware, software, and cybersecurity.

Qualifications

• Master’s degree in Electrical/Computer Engineering, Embedded Systems, or equivalent.
• Proficient in HDL (VHDL/Verilog), C, and Python.
• Strong understanding of cryptography and secure hardware principles.
• Experience with simulation, verification, and embedded software integration.
• Detail-oriented, self-motivated, and collaborative in cross-functional environments.

Preferred / Plus

• Knowledge of post-quantum cryptography or hardware security primitives.
• Experience with hardware/software co-design tools and secure coding standards.

We’re hiring an experienced Principal Verification Engineer to lead and innovate across multiple product lines. You’ll define verification strategies, develop advanced test environments, and collaborate globally to ensure every design meets the highest performance and reliability standards.

Responsibilities

• Lead verification planning and execution at the block and full-chip level.
• Partner with architects and designers to align verification goals with design intent.
• Build, enhance, and maintain UVM-based verification environments.
• Achieve and track coverage metrics to ensure complete functional validation.
• Collaborate with lab teams for silicon bring-up and debug.- Drive verification methodology improvements and mentor team members.

Qualifications

• MSEE with 10+ years or PhD with 7+ years of verification experience.- Advanced knowledge of SystemVerilog and UVM methodology.
• Proficiency in EDA tools such as VCS, Xcelium, and IMC.
• Strong scripting and automation skills (Python, Perl).
• Excellent communication and leadership across cross-functional teams.

Preferred / Plus

• Understanding of SVA and regression management tools (e.g., Jenkins).

We’re looking for a motivated Firmware Engineer to join a dynamic team developing embedded software for high-performance memory and system-on-chip platforms. You’ll work hands-on with both firmware and diagnostic software, helping shape next-generation memory interface products.

Responsibilities

• Design and develop embedded firmware from requirements through deployment.
• Implement and debug software for embedded devices and systems.
• Participate in architecture design, documentation, and code reviews.
• Integrate, test, and validate new firmware features.
• Collaborate with cross-functional teams to support system bring-up and testing.

Qualifications

• BS or higher degree in Computer Science, Computer Engineering, or Electrical Engineering.
• Strong C/C++ programming skills and understanding of embedded systems.
• Hands-on experience with debugging tools and software validation.
• Familiarity with Python or other scripting languages for automation and testing.
• Excellent communication and teamwork abilities.

Preferred / Plus

• Experience with device drivers and low-level hardware interfaces.
• Familiarity with Linux kernel development or RTOS concepts.
• Understanding of multi-threaded execution, interrupts, and synchronization mechanisms.
• Experience with SoC platforms, BIOS, or BMC development.

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.

We are looking for a highly motivated and results-driven Head of Data to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant, and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization.

We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.

Key Responsibilities

Data & Quant Leadership

• Define and lead the strategy across Data Engineering, Data Science, Quant, and Data Analytics, focusing on high business impact
• Build and manage cross-functional teams, including quants, data scientists, engineers, and analysts
• Drive advanced analytics, ML strategy, feature engineering, and model development with a focus on responsible AI
• Collaborate with stakeholders to turn complex business challenges into data-driven solutions

Data Engineering Leadership

• Design and evolve a scalable, reliable, and maintainable data platform architecture
• Oversee development of robust ETL/ELT pipelines and real-time data streams
• Establish engineering best practices: code reviews, CI/CD, data contracts, observability
• Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure
• Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes

People & Cross-Functional Leadership

• Communicate effectively across technical and non-technical teams to influence decisions
• Lead cross-team processes (e.g., grooming, design reviews, retrospectives)
• Mentor team members, create growth plans, and foster a culture of psychological safety, accountability, and innovation

AI & LLM Strategy

• Define and drive GenAI and LLM strategy: identify high-value use cases, evaluate model providers (OpenAI, Anthropic, open-source), and lead end-to-end implementation
• Architect and oversee LLM-powered products: RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes
• Lead adoption of agentic AI frameworks (LangChain, LlamaIndex, AutoGen) to build autonomous multi-step reasoning systems
• Establish MLOps and LLMOps best practices: model versioning, evaluation frameworks, prompt management, and monitoring for drift and hallucinations
• Drive responsible AI governance: bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations
• Champion AI-assisted development workflows (GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams
• Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval
• Collaborate with product and engineering to productionize AI features with robust feedback loops, A/B testing, and continuous model improvement

Requirements

• 7+ years of hands-on experience across Data Science, Quant, Data Engineering, delivering end-to-end solutions
• 3+ years of managerial experience, leading data teams including quants and data scientists
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Strong programming skills in Python, with experience writing clean, production-grade code
• Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
• Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark)
• Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
• Strong foundation in mathematical statistics, probability theory, and quantitative modeling
• Hands-on experience with LLMs, prompt engineering, and building production-grade AI systems (RAG, agents, fine-tuning)
• Familiarity with LLMOps tooling: experiment tracking (MLflow, W&B), vector stores, evaluation frameworks (RAGAS, DeepEval)
• Proficient in SQL and experience with analytical and OLAP databases
• English Upper-Intermediate

Nice to Have

• Experience with ClickHouse or other OLAP databases
• Background in trading or fintech
• Experience analyzing and modeling time series or high-frequency data
• Familiarity with anti-fraud systems, risk modeling, or portfolio analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

eClinical Solutions is a global leader in clinical data intelligence, delivering the elluminate® Clinical Data Cloud® — an AI-powered platform driving agentic data review, SDTM automation, and RBQM for 18 of the top 50 pharmaceutical companies worldwide.

As part of our eNOVA AI-First transformation, we are embedding AI across every pillar of clinical development and enterprise operations — compressing cycle times, improving data quality, and redefining how work gets done.

As we scale our AI capabilities, we are building a high-impact, hands-on AI engineering function focused on delivering real, production-grade automation across the enterprise.

You will make an impact:

The Principal AI Engineer – Automation & AI is a hands-on technical leader responsible for designing, building, and deploying AI-powered automation solutions across eClinical Solutions.

This role is builder-first (70–80% hands-on development) and operates within a small, high-output team (2–4 engineers). You will work directly with the CTAO and business leaders to identify high-value use cases and rapidly translate them into working AI systems in production.

This is not a program management or oversight role. You are expected to build, ship, and iterate continuously, leveraging modern AI tooling and agentic frameworks to deliver measurable impact.

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.

Your day to day:

Building & Shipping AI Systems

• Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing
• Build production-grade systems such as:
• Multi-agent workflows
• RAG-based applications
• Document intelligence and summarization pipelines
• Workflow and process automation solutions
• Use modern AI tools and frameworks including:
• Codex, Claude Code, Gemini, NotebookLM
• LangChain, LangGraph, LlamaIndex (or equivalents)
• Rapidly prototype, validate, and deploy solutions in weeks, not months

Owning End-to-End Delivery

• Translate business problems into working AI systems
• Design lightweight architectures and iterate quickly
• Develop and implement:
• Prompt engineering strategies
• Orchestration logic
• API integrations and data pipelines
• Testing, validation, and monitoring frameworks
• Partner directly with stakeholders to refine outputs and drive adoption

Driving High-Velocity Execution

• Deliver continuous output with weekly or bi-weekly releases
• Prioritize use cases based on:
• ROI and business impact
• Technical feasibility
• Speed to value
• Operate with minimal process and high accountability in a fast-paced environment

Contributing to Scalable AI Foundations

• Build and maintain reusable assets including:
• Prompt templates
• Agent design patterns
• Integration utilities
• Contribute to lightweight standards for:
• Security and data handling
• Responsible AI practices
• Evaluation and performance monitoring

Technical Leadership & Mentorship

• Provide technical guidance to a small team of AI engineers and automation specialists
• Lead by example through hands-on contribution
• Support the evolution of the AI engineering function as it scales

Take the first step towards your dream career. Here is what we are looking for in this role.

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
• 6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems
• Proven experience building and deploying:
• LLM-powered applications
• Agentic workflows
• Automation solutions in production environments
• Strong hands-on experience with tools such as:
• Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools)
• LangChain, LangGraph, LlamaIndex, or equivalent frameworks
• Proficiency in:
• Python
• API development and system integration
• Cloud platforms (AWS, Azure, or GCP)

Preferred

• Experience with:
• RAG architectures and vector databases
• AI evaluation frameworks, guardrails, and monitoring
• Workflow automation tools and enterprise integrations
• Experience working in regulated environments (e.g., life sciences, healthcare, financial services)
• Familiarity with clinical data, CDISC standards, or clinical development workflows
• Experience in high-growth or PE-backed SaaS environments

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.