Senior IT Support Engineer (Automation)

Job Summary:

About Connext:

Connext is pioneering a revolutionary protocol for seamless cross-domain intents, dedicated to enhancing L2-L2 communication with a focus on unrivaled security and decentralization. With its innovative approach, Connext facilitates cost-effective and low-latency user-facing interactions between blockchains through canonical bridges, offering optimal security parameters.

Team Overview:

The Connext team operates on a remote-first, globally distributed model, where proficiency in English is crucial. The team seeks self-starters with a drive for the dynamic startup environment, without restrictions on specific time zones, despite the majority residing and working within the US/European timeframes.

Main Responsibilities:

As the Analytics Lead at Connext, you will play a critical role in implementing and refining three fundamental areas:

Enhancing company-wide analytics infrastructure to streamline monitoring of operational progress.

Establishing essential product metrics aligned with Connext’s product usage and strategic business goals.

Supervising network liquidity health, ensuring optimal deployment for user demand, maximizing liquidity provider yield, and spearheading key protocol settlement strategy initiatives.

Reporting directly to the Head of Product, you will operate as an individual contributor responsible for initiating data-driven decisions across the organization.

Key Duties:

Develop and execute a comprehensive analytics roadmap to align with organizational objectives.

Collect and analyze data from various sources to identify trends and opportunities.

Spearhead data governance efforts and uphold high standards of data accuracy.

Act as a subject matter expert, defining impactful strategic problems and offering viable solutions.

Support cross-functional teams with analytical insights to drive continual improvement.

Collaborate closely with teams to establish key performance indicators and create performance tracking mechanisms.

Deliver actionable insights and recommendations based on data analysis to drive informed decision-making and foster business growth.

Effectively communicate analytical findings to diverse stakeholders in both technical and non-technical domains.

Focus Areas:

Optimize liquidity provision by devising strategies to enhance liquidity efficiency.

Develop and maintain analytics frameworks to track core company metrics accurately.

Analyze transaction volumes and pathways to identify improvement possibilities.

Conduct ongoing market and competitor analyses to stay informed of industry trends.

Research market forces, propose initiatives, and leverage AI technologies for growth.

Qualifications:

Degree in Mathematics, Finance, Economics, Business, Data Science, or related fields.

5+ years of experience in data analysis to drive business strategy.

Experience in Web3 and Crypto-VC environments.

Proficient in analyzing public blockchain data and eliciting expert insights.

Skilled in setting up internal data pipelines using tools like SQL, Python, Excel.

Independent problem-solver with strong execution capabilities.

Excellent interpersonal skills and the ability to build and maintain relationships.

Demonstrates ownership and accountability in problem-solving scenarios.

Benefits:

Opportunity to impact a rapidly expanding startup.

Work alongside passionate colleagues within a diverse and dynamic team.

Flexible work location.

Competitive remuneration and equity scheme.

Semi-annual team off-site gatherings.

Connext values diversity and equal opportunity, fostering an inclusive work environment that celebrates the differences individuals bring. Applicants are considered based on merit, without discrimination based on various characteristics.

[removed] at our company envisions a world where value flows freely, and business is conducted securely. Our mission is to empower an open, trustworthy, and enduring digital economy. We operate as a scale-up with the determination of a startup, fostering a workforce where innovation is welcomed, and each day brings new challenges.

The Professional Services Team

Our Professional Services team is composed of inventive problem-solvers and proactive team members who collaborate with clients to resolve complex issues efficiently.

The Professional Services department is pivotal in ensuring successful client outcomes by conceptualizing and executing complete customer solutions while guiding stakeholders at every phase of the process. We are seeking a motivated graduate eager to kickstart a career as a business analyst in a dynamic and innovative setting.

Responsibilities

Assist in arranging and coordinating important meetings between internal and external stakeholders, ensuring adequate preparation and documenting key points to be shared with relevant parties.

Aid in facilitating discovery workshops to grasp the business objectives and fundamental business requirements, translating these into technical and business needs with input from appropriate stakeholders to define customer features.

Support the connection between user requirements and technical execution.

Create suitable business materials, such as diagrams, to elucidate business processes through various business specification documents and templates.

Learn the process of translating business requirements into solution designs, showcasing sound judgment and a practical approach that merges business restrictions with engineering practicalities.

Ability to convey complex concepts to both internal and external stakeholders in a simplistic manner.

Assist in preparing demonstrations for operational solutions or POCs for relevant stakeholders.

Collaborate with designers in crafting mockups of the final product appearance.

Education & Experience - Must Haves

Bachelor's degree (or equivalent) in Business/IT discipline.

Interest in DLT/Blockchain technologies and benefits, with no prior experience required.

Willingness to travel to client and partner sites for project engagements after 12 months (local and/or international).

Examples demonstrating enthusiasm & initiative in academia, personal life, or professional endeavors.

Strong critical thinking, organization, communication, and documentation skills.

Education & Experience - Nice to Haves

Broad exposure within the Financial Services sector (e.g., Payments, Banking, Insurance, Fintech) is preferable but not mandatory.

Our firm is a premier enterprise technology organization specializing in digital solutions for regulated financial markets. Our tech empowers financial sectors to function with enhanced efficiency, transparency, and connectivity. We focus on advancing markets and nurturing an open, credible, and enduring digital economy.

Our team at R3 centers around core values: Collaborative, Ownership, Bold, and Customer First. These values drive our flagship DLT platform, Corda, and R3 Digital Markets suite that are trusted by prominent financial entities worldwide, including FMIs, exchanges, central banks, and commercial banks.

R3 is dedicated to maintaining an equal opportunity workplace, embracing diversity and inclusivity across all ethnicities, races, genders, sexual orientations, origins, disabilities, veteran statuses, and cultures. We are committed to cultivating an environment where individuality is celebrated because we believe that our unique distinctions unite us stronger as a team. If you believe you can positively contribute to R3 even if you don't meet all the specific requirements mentioned, kindly forward your CV/resume as we are excited to connect with proactive and collaborative individuals eager to join us.
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At R3, we envision a world where value flows freely and businesses operate securely. Our mission is to facilitate an open, reliable, and sustainable digital economy. As a scaling startup, we value a workforce where every idea holds merit and every day brings new challenges.

About R3 Professional Services:

The R3 Professional Services team focuses on providing specialized Corda expertise to drive successful customer adoption. We engage directly with customers to guide them through the design, development, deployment, and consultation phases of their Corda journey in order to ensure lasting capabilities. From business consulting and technical solutions to implementation, we assist customers in effectively achieving their objectives, from small Proof of Concepts to comprehensive, end-to-end Digital Currencies and Digital Assets solutions for real-world issues.

Our customer-centered and innovative approach to service delivery in the industry enables us to strategically assess customer needs and ensure a promising start to their journey. In addition to customer interaction, we actively collaborate internally with Sales, Engineering, and Product teams to enhance tools, services, and products based on evolving customer requirements.

Role Overview: DevOps Architect

We are searching for a skilled and experienced DevOps Architect to join our team. The ideal candidate will take charge of designing, implementing, and maintaining customer DevOps infrastructure to enhance scalability, reliability, and efficiency. This position requires proficiency in tools like Terraform, Ansible, Helm, and Docker, along with a comprehensive understanding of cloud platforms and CI/CD pipelines. The DevOps Architect will closely collaborate with internal Product Engineering, Professional Services Engineering, and security teams to improve processes and optimize our software delivery lifecycle. In addition, the Architect will work with Client IT Teams and Architects to evaluate their environments, assess customer DevOps tools and frameworks, propose potential Architectures, and recommend Best Practices.

Responsibilities:

Interpret customer requirements and offer guidance on effective DevOps deployment strategies. Create new scripts based on customer needs while leveraging R3’s deployment templates to support customers in scalability, disaster recovery, and solution maintainability.

Design, deploy, and maintain scalable and resilient DevOps infrastructure. Create automation scripts and workflows utilizing Terraform, Ansible, Helm, Docker, and other pertinent technologies.

Establish and oversee CI/CD pipelines to automate software delivery, testing, and deployment operations.

Implement monitoring, logging, and alerting systems to ensure system health and performance. Identify and rectify issues spanning the entire stack, from infrastructure to application code, including build failures, deployment errors, and infrastructure disruptions promptly.

Conduct deployment strategy workshops with R3 customers to comprehend their specific infrastructure and application hosting needs, platforms, and tools.

Ensure the incorporation of security best practices throughout the DevOps processes, encompassing code scanning, vulnerability management, and access control.

Foster innovation and continuous enhancement in our DevOps practices by collaborating with multidisciplinary teams. Remain informed about the latest DevOps trends and technologies to recommend novel tools and methodologies for process improvement.

Take complete accountability for managing all assigned tasks, ensuring successful implementation and scope, while aiding DevOps Solution Engineers with daily Technical Guidance to cultivate a cohesive DevOps Team.

Key Skills Needed:

Proven experience as a DevOps Architect, with a minimum of 8 years designing and architecting enterprise-scaled solutions. Strong proficiency in Terraform, Ansible, and Helm charts automation focused on scalable infrastructure implementation.

Expertise in containerization technologies like Docker and container orchestration tools, such as Kubernetes. Competency in managing deployments using Helm charts.

Cloud expertise in Azure DevOps, AWS, or Google Cloud. Knowledge of microservices architecture and serverless computing deployment with AKS, EKS, or GKE is highly beneficial.

Proficiency in monitoring systems like DataDog and Prometheus.

Understanding of DevOps practices in regulated industries, like healthcare or finance.

Extensive knowledge of version control systems like Git and source code management workflows.

Superior troubleshooting abilities and the capacity to analyze complex systems.

Excellent communication and collaboration skills for effective teamwork in a cross-functional environment.

Preferred certifications like AWS/Azure Certified DevOps Engineer or Certified Kubernetes Administrator provide added advantage.

Desired Skills:

Commercial enterprise product experience in Kubernetes and thorough understanding of software production.

Awareness of DLT/Blockchain technologies and their advantages.

Eagerness to learn new skills and solve intricate problems.

R3 is a premier enterprise technology firm specializing in digital solutions for regulated financial markets to enhance operational efficiency, transparency, and connectivity in financial markets. Core values at R3 include Collaboration, Ownership, Boldness, and prioritizing Customer interests, evident in our flagship DLT platform, Corda, and the R3 Digital Markets product suite, which are trusted by industry leaders in financial markets.

R3 takes pride in being an equal opportunity workplace, fostering a diverse and inclusive environment, supporting all ethnicities, races, genders, sexual orientations, origins, disabilities, veteran statuses, and cultures. At R3, we are dedicated to creating an environment where individuality prevails, and our diverse attributes enrich and strengthen our collective success.

Token Metrics is in need of a skilled machine learning engineer to improve our machine learning systems. The role involves reviewing current machine learning processes, conducting statistical analysis to address data set issues, and enhancing the accuracy of our AI software's predictive automation capabilities.

We are seeking an individual with a strong background in data science who can significantly enhance the performance of predictive models.

Responsibilities

Collaborate with the manager to establish and refine machine learning objectives.

Design machine learning systems and AI to automate predictive models.

Translate data science prototypes into applicable ML algorithms and tools.

Ensure algorithms produce precise user recommendations.

Tackle intricate issues with multi-layered data sets and optimize existing machine learning frameworks.

Develop ML algorithms to analyze large historical data volumes for predictions.

Conduct stress tests, statistical analysis, and interpretation of test outcomes under various market conditions.

Document machine learning procedures.

Remain updated on advancements in machine learning.

Requirements

Bachelor's degree in computer science, data science, mathematics, or related field.

Master's degree in computational linguistics, data science, data analytics, or similar is a plus.

Minimum of two years' experience as a machine learning engineer.

Proficient in Python, Java, and R coding.

Extensive understanding of ML frameworks, libraries, data structures, data modeling, and software architecture.

Thorough knowledge of mathematics, statistics, and algorithms.

Strong analytical and problem-solving skills.

Excellent communication and teamwork capabilities.

Exceptional time management and organizational skills.

About Token Metrics

Token Metrics aids crypto investors in constructing profitable portfolios through AI-driven crypto indices, ratings, and price predictions. Our clientele includes retail investors, traders, and crypto fund managers across over 50 countries.

Token Metrics is in search of a versatile individual to take on the role of a Smart Contract Engineer within the Engineering team. Working hand-in-hand with colleagues and product managers, you will be instrumental in developing infrastructure to migrate Token Metrics privacy and scalability infrastructure to the Ethereum network. This entails tasks such as creating a cross-chain bridge for asset transfers and implementing a Solidity smart contract for block validation in a secure and transparent transaction system on Token Metrics.

Responsibilities

Design, code, test, and launch EVM smart contracts.

Collaborate with external auditors to assess the security and reliability of smart contracts.

Manage engineering projects from inception through to deployment, in close coordination with engineering leadership and the product team to establish practical and feasible roadmaps.

Requirements

At least 3 years of professional software engineering expertise or similar experience in blockchain/smart contract development.

Proficient in Solidity development with familiarity in precompiles.

Knowledge of software engineering and security best practices, with a specific focus on smart contract security.

Experience in using dapps/web3.

Demonstrated ability to successfully ship and execute engineering projects.

About Token Metrics

Token Metrics enables cryptocurrency investors to construct profitable portfolios through AI-driven crypto indices, rankings, and price forecasts.

It serves a diverse clientele, ranging from individual investors and traders to cryptocurrency fund managers, spanning across more than 50 countries.