Role Description We're on the look out for a Senior Software Engineer who is frontend focussed. This is our epic Product team where you’ll work with a collaborative, fun and diverse bunch of people. As one of our Software Engineers, you will bring the following: - Bias to action & ownership: You take full ownership of complex problem spaces bringing urgency, focus, and accountability. - Technical mastery and judgment: Strong expertise in React, TypeScript, C# .NET Core, and cloud-native architectures. - Strategic thinking: Ability to think holistically about the long-term impact of your work. - Collaboration and communication: Excellent written and verbal communication skills. - Mentorship and leadership: A passion for growing others through direct mentorship or by setting examples in technical excellence. - Execution in complexity: You break down large, ambiguous problems into tangible, incremental value. - AI integration mindset: Curiosity and thoughtfulness in leveraging AI tools and LLMs. - Values-driven engineering: An interest in topics that extend beyond code, including privacy, ethics, and security. Qualifications - Strong expertise in React, TypeScript, C# .NET Core, and cloud-native architectures. - Excellent written and verbal communication skills. - Experience in mentorship and leadership. - Ability to think holistically about long-term impacts. Requirements - Full ownership of complex problem spaces. - Ability to articulate trade-offs clearly to both technical and non-technical audiences. - Experience in breaking down large, ambiguous problems. - Curiosity in leveraging AI tools and LLMs. Benefits - Competitive salary that reflects your skills and experience. - Employee share scheme. - Flexibility for a healthy work/life blend. - Shorter work weeks (at full pay) with Friday afternoons off. - Health Care Plan covering 100% of individual health insurance. - Focus on mental and physical health with Wellness Days. - Comprehensive parental leave and benefits. - Support for personal growth through courses and events. - Regular team lunches and social events.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Kamiwaza is seeking a Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers. - Design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. - Play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production. - This role is ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure. Qualifications - 3+ years of professional software engineering experience building and scaling complex platforms or distributed systems. - Strong proficiency in Python, including designing, developing, and debugging production-grade services. - Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements. - Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals. - Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions. - Excellent collaboration and communication skills with a strong sense of ownership and accountability. Requirements - BS or MS in Computer Science, Software Engineering, or a related field. - Open source contributions related to GenAI, distributed systems, or data orchestration. - Experience with cloud networking (DNS, VPC configuration, infrastructure security). - Strong quantitative background (math, physics, ML, or related fields). - Experience using GenAI tools to augment development workflows. - Familiarity with enterprise software development lifecycles from architecture through post-deployment support. Benefits - Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology. - Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need. - Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation. - High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape. - Competitive Compensation & Equity: Own a piece of our high-potential, well-funded startup. - Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support. How to Apply Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai . Include GitHub (or equivalent) code samples, a system design you’re proud of, and any evaluation or benchmark work that demonstrates your technical rigor. P.S. If you use GenAI to craft your application, we’ll probably find out — and we’d love to learn more about how you did it! Compensation This role offers a base salary between $100,000 and $200,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Growth Insights team is responsible for building a scalable, well-integrated, and governed analytics ecosystem that enables Kraken’s Growth and Platform teams to make data-driven decisions with confidence. Our mission is to ensure that marketing, product, and business analytics data is accurate, reliable, and actionable, allowing us to optimize attribution, performance tracking, and user interactions across our ecosystem. - Develop and maintain shared libraries and best practices for event tracking across multiple codebases, ensuring consistency, reducing duplication, and enabling high-quality data collection across Kraken’s frontend platforms - Ensure data quality and consistency by building robust validation, monitoring, and alerting systems that detect and prevent data issues proactively - Document and evangelize best practices for analytics implementation, creating a clear and accessible knowledge base for engineers and analysts - Collaborate with Data Engineering and Analytics to ensure event data is aligned with our source of truth and supports reliable decision-making - Continuously optimize our MarTech stack, evaluating and integrating tools that enhance tracking, attribution, and customer insights - Improve event and attribution modeling, enabling more accurate insights into user journeys, marketing performance, and product engagement - Map and refine event data flows to reduce redundancy and improve efficiency, transparency, and cost-effectiveness across our analytics architecture - Support experimentation infrastructure, helping teams design and implement A/B testing frameworks as needed Qualifications - 6+ years of experience in frontend development with strong expertise in React.js (web or React Native) and TypeScript - Deep understanding of web and mobile tracking technologies and analytics platforms, such as Google Tag Manager, Google Analytics, Segment, Mixpanel, and AppsFlyer - Proven ability to audit, troubleshoot, and resolve data discrepancies in complex tracking systems - Experience working across multiple teams and codebases to implement consistent tracking strategies - Strong communication and collaboration skills, with the ability to align engineering, marketing, and analytics on tracking best practices Requirements - Hands-on experience with frontend testing frameworks and modern build pipelines - Experience with large-scale data tracking and analytics infrastructure is a plus - Knowledge of marketing automation solutions and advertising network integrations - Familiarity with A/B testing solutions and experimentation methodologies - Back end engineering experience a plus - Understanding of cryptocurrency, blockchain technology, and decentralized applications Company Description Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. - Fully remote company with Krakenites in 70+ countries who speak over 50 languages - Committed to industry-leading security, crypto education, and world-class client support - Develop premium crypto products for experienced traders, institutions, and newcomers

Work with us Our team are passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and Autoimmune disease to deliver life-changing treatments to patients. Whilst working at Autolus you will enjoy a flexible, diverse and dynamic working environment which actively promotes creativity, leadership and teamwork – together we are ONE Autolus. Job Description: Job Title : Senior Manager, Statistical Programming Reports to: Senior Director, Statistical Data Department: Biometrics Hours: 40 Location: US – Rockville About Autolus Autolus is a clinical-stage biopharmaceutical company developing next-generation, programmed T cell therapies for the treatment of cancer. Using a broad suite of proprietary and modular T cell programming technologies. The company is engineering precisely targeted, controlled and highly active T cell therapies that are designed to better recognise cancer cells, break down their defence mechanisms and eliminate these cells. Autolus has a pipeline of product candidates in development for the treatment of haematological malignancies and solid tumours. Why Autolus Our team is passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy to deliver life-changing treatments to patients. Whilst working at Autolus you will enjoy a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership and teamwork. In addition to this Autolus is proud to offer a competitive salary, performance related bonus as well as private medical insurance, life assurance, pension and access to an employee share scheme. Autolus promotes flexible working. Our Promise Autolus is developing complex, breakthrough therapies for a globally diverse market and equally recognises that diversity amongst our people is critical to our mission. As we draw on our differences, what we’ve experienced, and how we work, we celebrate diversity and are committed to creating an inclusive environment for all employees Role Summary A Sr. Statistical Programming Manager provides timely support to the project team on all programming matters according to the project strategies. As an integral part of a project team, the incumbent provides project leadership and contributes to the programming support for processing data from clinical studies. Project requirements will be identified according to a Statistical Analysis Plan, programming specifications or user requirements/design documents using internal standards and guidelines. The incumbent is responsible for leading the programming aspect of the project, both internally or CROs, for all programming deliverables and participates in the identification and development of programming standards and macro development to facilitate the creation of statistical deliverables from a single study through to regulatory approval, product launch, and annual reports. May be asked to oversee special projects / work with clinical task force. Meets statistical ad-hoc requests of senior management. Key Responsibilities - Independently coordinate and oversee the preparation, execution, reporting and documentation of clinical project programming activities. Provide programming input to CRF, SAP, data specifications, and tables, figures, and listings (TFLs) shells. - Write SAS programs to generate derived analysis datasets, perform analysis, and TFLs. - Perform ad-hoc flexible and rapid programming arising from questions generated from planned analyses and results. - Ensure consistency and adherence to standards. - Work with external vendor (e.g., CROs) on programming deliveries. - Provide input to the design of the clinical trial database for proper data capture and to ensure data quality. - Convert, verify and integrate multiple sources of incoming data for the creation of analysis datasets. - Provide programming support for the preparation of integrated reports, health authority submissions and post-submission activities. - Contribute to the creation, maintenance, and validation of standards for programming tools, outputs and macros. - Routinely interface with cross-functional team members. Demonstrated skills and competencies Experience - Bachelor’s degree in life science, statistics, mathematics, computer science, or related field is required; Master’s degree is preferred. - 7 plus years Pharmaceutical/CRO experience as a SAS Programmer supporting clinical trials for regulatory submissions. - Thorough understanding of clinical data structures, relational database structures, and data exchange with alternate data formats. - Demonstrated skills in using additional software tools and applications (e.g. MS office, XML). - Demonstrated expertise in the handling and processing of upstream data. - Demonstrated expertise in providing outputs to meet downstream requirements, e.g., SDTM, ADaM, Data Specification, e-submission. - In-depth understanding of regulatory, industry, and technology standards and requirements. - Good knowledge of statistical terminology, clinical tests, medical terminology, and protocol designs. - Demonstrated ability to work in a team environment with clinical team members. - Excellent planning and project management skills. - Good interpersonal, communication, writing and organizational skills. Keep abreast of evolving regulatory, industry, and technology changes and demands, e.g., CDISC, SDTM, ADaM, eDC. Skills/Specialist knowledge - Good written and verbal communication skills. - Knowledge of appropriate FDA and EMA regulations, industry standards and guidance documents. - Understands clinical research process, trial designs, and the development of protocols and analysis plans. - Shows expert knowledge of the SAS programming language, including SAS Base/Macro/STAT/Graph/ODS. - Proficient in computer skills relevant to programming and analysis environments. Autolus Leadership Behaviours (incorporating Core Competencies) Clarify direction and inspire; Using good judgement to set clear and compelling goals that show your team how their work contributes to our purpose and strategy Deliver goals and plans; Creating joint plans with your team to deliver your goals, holding yourself and others accountable for delivering quality results Work collaboratively; Cultivating a network of relationships across the organisation and building high performing teams based on mutual trust and respect Optimise potential; Creating a healthy, engaged and empowered working environment that invests in people and their development. Role Model our values; Acting as a role model ensuring everything you do is in line with our values of respect, integrity, focus and breakthrough Autolus’ success is driven by equality and inclusion; we believe all voices are of equal value and must be heard. Whilst operating with focus and integrity, we are committed to improving diversity and inclusion within our business and our industry.