Qureos Mentor

Finaira

<div>
 At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape. This role will oversee multiple teams or complex AI/ML initiatives, drive the strategic direction and ensure the successful delivery of transformative AI solutions at scale.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence. This includes managing other managers and lead individual contributors
 </li>
 <li>
 Drive the technical vision and architecture for our AI/ML platform across multiple initiatives. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI
 </li>
 <li>
 Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand
 </li>
 <li>
 Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems
 </li>
 <li>
 Guide multiple teams through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations, providing high-level technical guidance and troubleshooting
 </li>
 <li>
 Implement and enforce best practices for the machine learning development lifecycle (MLOps) across the organization to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients
 </li>
 <li>
 Develop and articulate our firm's point of view on the application of AI in banking and FinTech, representing the company through white papers, conference presentations, and executive briefings
 </li>
 <li>
 Proactively manage complex service incidents, problems, and changes across multiple projects or product lines, ensuring effective communication and resolution with stakeholders
 </li>
 <li>
 Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery
 </li>
 <li>
 Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps
 </li>
 <li>
 Manage budget, resources, and project portfolios for the AI/ML service engineering function, ensuring alignment with strategic objectives
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred
 </li>
 <li>
 Experience: 5+ years of hands-on software engineering experience, with at least 2 years in a leadership role managing software development teams
 </li>
 <li>
 Proven ability to engage with stakeholders and clients to define technical requirements and contribute to architecting enterprise-grade solutions
 </li>
 <li>
 Proven experience architecting, building, and operating scalable, distributed systems in cloud &amp; on-prem environments (AWS, GCP, Azure, Openshift, etc.)
 </li>
 <li>
 Expertise in modern backend development using languages like Go, Kotlin, Java, or Python
 </li>
 <li>
 Deep, practical experience with containerization and orchestration (Docker, Kubernetes), infrastructure as code (Terraform, Pulumi), and CI/CD tools
 </li>
 <li>
 Knowledge of Agile methodologies and practices
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience building financial-grade systems in banking, FinTech, or trading
 </li>
 <li>
 Experience in a professional services or technical consulting environment, delivering enterprise solutions
 </li>
 <li>
 Experience building a Platform-as-a-Service (PaaS) or developer platform for internal teams
 </li>
 <li>
 Knowledge of network architecture and cybersecurity principles
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong leadership and people management skills
 </li>
 <li>
 Ability to inspire, motivate, and mentor software engineering teams
 </li>
 <li>
 Excellent analytical, critical thinking, and problem-solving skills
 </li>
 <li>
 Strong communication (verbal, written, presentation) and interpersonal skills
 </li>
 <li>
 Ability to translate complex technical concepts into business values
 </li>
 <li>
 Demonstrated ability to foster a culture of technical excellence and continuous improvement
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Senior Manager, AI Service Engineering

<div>At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape. This role will oversee multiple teams or complex AI/ML initiatives, drive the strategic direction and ensure the successful delivery of transformative AI solutions at scale.
The difference you will make:<ul><li>Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence. This includes managing other managers and lead individual contributors.</li><li>Drive the technical vision and architecture for our AI/ML platform across multiple initiatives. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI.</li><li>Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand.</li><li>Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems.</li><li>Guide multiple teams through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations, providing high-level technical guidance and troubleshooting.</li><li>Implement and enforce best practices for the machine learning development lifecycle (MLOps) across the organization to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients.</li><li>Develop and articulate our firm's point of view on the application of AI in banking and FinTech, representing the company through white papers, conference presentations, and executive briefings.</li><li>Proactively manage complex service incidents, problems, and changes across multiple projects or product lines, ensuring effective communication and resolution with stakeholders.</li><li>Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery.</li><li>Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps.</li><li>Manage budget, resources, and project portfolios for the AI/ML service engineering function, ensuring alignment with strategic objectives.</li></ul> 
 
 
Requirements 
What you will bring to the role:<ul><li>Bachelor&rsquo;s degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred.</li><li>Experience: 5+ years of hands-on software engineering experience, with at least 2 years in a leadership role managing software development teams.</li><li>Proven ability to engage with stakeholders and clients to define technical requirements and contribute to architecting enterprise-grade solutions.</li><li>Proven experience architecting, building, and operating scalable, distributed systems in cloud &amp; on-prem environments (AWS, GCP, Azure, Openshift, etc.).</li><li>Expertise in modern backend development using languages like Go, Kotlin, Java, or Python.</li><li>Deep, practical experience with containerization and orchestration (Docker, Kubernetes), infrastructure as code (Terraform, Pulumi), and CI/CD tools.</li><li>Knowledge of Agile methodologies and practices.</li></ul>
Preferred Qualifications:<ul><li>Experience building financial-grade systems in banking, FinTech, or trading.</li><li>Experience in a professional services or technical consulting environment, delivering enterprise solutions.</li><li>Experience building a Platform-as-a-Service (PaaS) or developer platform for internal teams.</li><li>Knowledge of network architecture and cybersecurity principles.</li><li>Soft Skills:</li></ul>
o Strong leadership and people management skills.
o Ability to inspire, motivate, and mentor software engineering teams.
o Excellent analytical, critical thinking, and problem-solving skills.
o Strong communication (verbal, written, presentation) and interpersonal skills.
o Ability to translate complex technical concepts into business values.
o Demonstrated ability to foster a culture of technical excellence and continuous improvement.
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

<div>The Data / ML Engineer II will independently design, build, and maintain data infrastructure and pipelines to support the development, deployment, and scaling of data and machine learning models within the financial sector. This role requires a solid understanding of data engineering principles, proficiency in relevant tools and technologies, and the ability to translate data requirements into effective and efficient data solutions. Experience with data structures within core banking systems and common banking applications is highly desirable.
Focus: Manage &amp; Build ML Pipelines, Refine ETL Processes &amp; Mentorship
The difference you will make:<ul><li>Independently design, develop, and maintain ETL processes and data pipelines to ingest, transform, and load data from various sources.
</li><li>Implement and optimize data quality checks and validation procedures to ensure data accuracy and consistency across diverse banking data sources.
</li><li>Implement and manage the automation of data pipeline execution and monitoring.
</li><li>Build and manage data warehouses, data lakes, and other data storage solutions, considering the specific data storage and access patterns of banking systems, while enforcing data security and access control measures, adhering to banking security policies and regulations.
</li><li>Develop and implement strategies for deploying data and machine learning models at scale.
</li><li>Collaborate with data scientists to independently understand data requirements and model dependencies, including the structure and nuances of data within banking systems. 
</li></ul> 
 
Requirements 
What you will bring to the role:<ul><li>Education: Bachelor's degree in Computer Science, Engineering, or a related field.
</li><li>Experience:
</li></ul>o 3+ years of experience as a Data Engineer or in a similar role.
o Proven experience in building and deploying data pipelines and infrastructure, preferably within the financial services industry.
o Solid experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
o Experience with machine learning model deployment and monitoring.
o Strongly preferred: Some knowledge of core banking system data structures (e.g., Temenos).
o Familiarity with data from common banking applications (e.g., Salesforce, Microsoft Dynamics 365, and various POS systems).<ul><li>Technical Skills:
</li></ul>o Proficiency in at least one programming language (e.g., Python, Scala, Java).
o Expertise in big data technologies (e.g., Spark, Hadoop, Kafka).
o Strong knowledge of database systems (SQL and NoSQL).
o Familiarity with machine learning frameworks.
o Solid understanding of DevOps practices and tools.
o Experience with data warehousing and ETL tools.
<ul><li>Soft Skills:
</li></ul>o Strong ownership and accountability for assigned work.
o Excellent communication, interpersonal, and conflict resolution skills.
o Effective time management and task prioritization.
o Analytical thinking and problem-solving skills.
o Ability to work independently and collaborate with teams within and across functions.
o Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
o Adaptability and learning agility in a fast-paced environment.
o Strong attention to detail and a commitment to quality.
o Receptiveness to feedback and continuous improvement mindset.
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Data Engineer II

<div>
 The Data / ML Engineer II will independently design, build, and maintain data infrastructure and pipelines to support the development, deployment, and scaling of data and machine learning models within the financial sector. This role requires a solid understanding of data engineering principles, proficiency in relevant tools and technologies, and the ability to translate data requirements into effective and efficient data solutions. Experience with data structures within core banking systems and common banking applications is highly desirable.
 
 
 Focus: Manage &amp; Build ML Pipelines, Refine ETL Processes &amp; Mentorship
 
 
 The difference you will make:
 
 
 <ul>
 <li>
 Independently design, develop, and maintain ETL processes and data pipelines to ingest, transform, and load data from various sources
 </li>
 <li>
 Implement and optimize data quality checks and validation procedures to ensure data accuracy and consistency across diverse banking data sources
 </li>
 <li>
 Implement and manage the automation of data pipeline execution and monitoring
 </li>
 <li>
 Build and manage data warehouses, data lakes, and other data storage solutions, considering the specific data storage and access patterns of banking systems, while enforcing data security and access control measures, adhering to banking security policies and regulations
 </li>
 <li>
 Develop and implement strategies for deploying data and machine learning models at scale
 </li>
 <li>
 Collaborate with data scientists to independently understand data requirements and model dependencies, including the structure and nuances of data within banking systems
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 What you will bring to the role:
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Experience:
 </li>
 <li>
 3+ years of experience as a Data Engineer or in a similar role
 </li>
 <li>
 Proven experience in building and deploying data pipelines and infrastructure, preferably within the financial services industry
 </li>
 <li>
 Solid experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies
 </li>
 <li>
 Experience with machine learning model deployment and monitoring
 </li>
 <li>
 Strongly preferred: Some knowledge of core banking system data structures (e.g., Temenos)
 </li>
 <li>
 Familiarity with data from common banking applications (e.g., Salesforce, Microsoft Dynamics 365, and various POS systems)
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in at least one programming language (e.g., Python, Scala, Java)
 </li>
 <li>
 Expertise in big data technologies (e.g., Spark, Hadoop, Kafka)
 </li>
 <li>
 Strong knowledge of database systems (SQL and NoSQL)
 </li>
 <li>
 Familiarity with machine learning frameworks
 </li>
 <li>
 Solid understanding of DevOps practices and tools
 </li>
 <li>
 Experience with data warehousing and ETL tools
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong ownership and accountability for assigned work
 </li>
 <li>
 Excellent communication, interpersonal, and conflict resolution skills
 </li>
 <li>
 Effective time management and task prioritization
 </li>
 <li>
 Analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to work independently and collaborate with teams within and across functions
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment
 </li>
 <li>
 Strong attention to detail and a commitment to quality
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 
 
 </li>
 </ul>
 
 Finaira
 
 is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

<div>
 At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence
 </li>
 <li>
 Drive the technical vision and architecture for our AI/ML platform. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI
 </li>
 <li>
 Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand
 </li>
 <li>
 Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems
 </li>
 <li>
 Guide the team through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations
 </li>
 <li>
 Implement and enforce best practices for the machine learning development lifecycle (MLOps) to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients
 </li>
 <li>
 Develop and articulate our firm's point of view on the application of AI in banking and fintech, representing the company through white papers, conference presentations, and executive briefings
 </li>
 <li>
 Proactively manage complex service incidents, problems, and changes, ensuring effective communication and resolution with stakeholders
 </li>
 <li>
 Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery
 </li>
 <li>
 Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 8+ years of professional experience in data science or machine learning, with at least 3 years in a technical leadership or management role
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Experience in a client-facing or technical advisory role, with the ability to communicate complex machine learning concepts to both technical and executive audiences
 </li>
 <li>
 Expert-level proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX
 </li>
 <li>
 Demonstrable experience architecting and deploying ML models into a production environment on a major cloud &amp; on-prem platform (AWS, GCP, Azure, Cloudera)
 </li>
 <li>
 Strong theoretical understanding of a broad range of machine learning concepts, including deep learning, NLP, and statistical modeling
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience building and scaling an AI/ML team from an early stage
 </li>
 <li>
 Direct experience in the fintech or banking industry, particularly with financial data (e.g., time-series analysis, credit scoring, anti-money laundering (AML))
 </li>
 <li>
 A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, KDD)
 </li>
 <li>
 Experience defining go-to-market strategies for technology-driven products or service
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Proven ability to inspire, motivate, and mentor senior technical teams and managers
 </li>
 <li>
 Outstanding analytical, critical thinking, and complex problem-solving skills, with a focus on systemic improvements and strategic impact
 </li>
 <li>
 Superior communication (verbal, written, executive presentations) and negotiation skills, capable of influencing at the executive and board levels
 </li>
 <li>
 Strong business acumen with the ability to translate technical AI/ML capabilities into strategic business value and revenue opportunities
 </li>
 <li>
 Demonstrated ability to drive cultural change towards innovation and excellence in AI/ML engineering
 
 
 </li>
 </ul>
 
 Finaira
 
 is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Manager, AI Services Engineering

<div>At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape.
The difference you will make:<ul><li>Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence.</li><li>Drive the technical vision and architecture for our AI/ML platform. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI.</li><li>Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand.</li><li>Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems.</li><li>Guide the team through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations.</li><li>Implement and enforce best practices for the machine learning development lifecycle (MLOps) to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients.</li><li>Develop and articulate our firm's point of view on the application of AI in banking and fintech, representing the company through white papers, conference presentations, and executive briefings.</li><li>Proactively manage complex service incidents, problems, and changes, ensuring effective communication and resolution with stakeholders.</li><li>Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery.</li><li>Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps.</li></ul> 
 
 
 
Requirements 
What you will bring to the role:
Education:<ul><li>
Bachelor&rsquo;s degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred.</li></ul>
Education:<ul><li>
8+ years of professional experience in data science or machine learning, with at least 3 years in a technical leadership or management role.</li></ul>
Technical Skills:<ul><li>
Experience in a client-facing or technical advisory role, with the ability to communicate complex machine learning concepts to both technical and executive audiences.</li><li>
Expert-level proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.</li><li>
Demonstrable experience architecting and deploying ML models into a production environment on a major cloud &amp; on-prem platform (AWS, GCP, Azure, Cloudera)</li><li>
Strong theoretical understanding of a broad range of machine learning concepts, including deep learning, NLP, and statistical modeling.</li></ul>
Preferred Qualifications:<ul><li>
Experience building and scaling an AI/ML team from an early stage.</li><li>
Direct experience in the fintech or banking industry, particularly with financial data (e.g., time-series analysis, credit scoring, anti-money laundering (AML)).</li><li>
A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, KDD).</li><li>
Experience defining go-to-market strategies for technology-driven products or service.</li></ul>
Soft Skills:<ul><li>
Proven ability to inspire, motivate, and mentor senior technical teams and managers.</li><li>
Outstanding analytical, critical thinking, and complex problem-solving skills, with a focus on systemic improvements and strategic impact.</li><li>
Superior communication (verbal, written, executive presentations) and negotiation skills, capable of influencing at the executive and board levels.</li><li>
Strong business acumen with the ability to translate technical AI/ML capabilities into strategic business value and revenue opportunities.</li><li>
Demonstrated ability to drive cultural change towards innovation and excellence in AI/ML engineering.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

<div>The Principal Software Engineer provides strategic technical leadership and direction for software development initiatives across the organization, particularly within the financial sector. This role is responsible for defining technical vision, setting architectural standards, mentoring senior engineers, and collaborating with leadership to deliver high-impact, scalable, and secure software solutions that align with business strategy.
The difference you will make:
<ul><li>Define the overall software architecture and technical vision for projects and products.</li><li>
Lead the design and implementation of complex, enterprise-level software systems.</li><li>
Establish and enforce coding standards, architectural guidelines, and best practices across development teams.</li><li>
Provide technical leadership and mentorship to senior software engineers and architects.</li><li>
Drive innovation by evaluating and recommending new technologies and architectural patterns.</li><li>
Connect with industry bodies and specifications to define the guidelines for Software Engineering in the AI FinTech space</li><li>
Collaborate with product management and stakeholders to define technical roadmaps and ensure alignment with business objectives.</li><li>
Oversee the development and implementation of comprehensive testing strategies, including performance and security testing.</li><li>
Lead troubleshooting efforts for critical production issues and guide the development of robust solutions.</li><li>
Act as a key technical point of contact and provide guidance on complex technical challenges.</li><li>
Contribute to strategic planning and decision-making regarding technology direction and resource allocation</li></ul> 

Requirements 
What you will bring to the role:
Education:
<ul><li>Bachelor&rsquo;s degree in computer science, Software Engineer 1ing, or a related field; Master's degree preferred.
</li></ul>Experience:
<ul><li>8+ years of progressive experience as a Software Engineer 1, with more than 2 years in leading technical teams and architecting complex systems.
</li><li>Deep experience in developing scalable, high-performance, and secure applications, preferably within the financial services industry.
</li></ul>Technical Skills:<ul><li>
Expert-level mastery in multiple core programming languages.</li><li>
Deep understanding of various software development frameworks and technologies.</li><li>
Extensive experience in designing and implementing distributed systems, microservices architectures, and cloud-native solutions (AWS, Azure, GCP).</li><li>
Deep expertise in database design and optimization (SQL and NoSQL).</li><li>
Proven ability to define and enforce architectural patterns and best practices.</li><li>
Strong understanding of security principles and implementation of secure coding practices.</li><li>
Experience with a wide range of development tools and methodologies (Agile, DevOps).</li></ul>
Soft Skills:
<ul><li>Exceptional leadership, communication, and interpersonal skills.</li><li>
Proven ability to influence and drive technical direction.</li><li>
Strong strategic thinking and problem-solving abilities.</li><li>
Excellent mentoring and coaching skills.</li><li>
Ability to collaborate effectively with diverse teams and stakeholders at all levels.</li><li>
Strong business acumen and the ability to align technical solutions with business goals.</li><li>
Demonstrated discipline, reliability, and a commitment to excellence.</li><li>
Excellent command of English language, both verbal and written.</li><li>
Proactive self-learner with a passion for innovation and technology leadership.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal Software Engineer

Join Finaira and explore 10   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Finaira

About Company

Senior Manager, AI Service Engineering

Senior Manager, AI Service Engineering

Data Engineer II

Data Engineer II

Manager, AI Services Engineering

Manager, AI Services Engineering

Principal Software Engineer