Shape the future of data infrastructure as a Senior Data Engineer in a rapidly growing tech startup. This is a hands-on role focused on building scalable ETL/ELT pipelines and innovative data management solutions.
As a Senior Data Engineer, you’ll work closely with product managers and data scientists to develop an efficient data platform strategy. Your hands-on experience will be utilized to design modern data pipelines and ensure the systems are reliable and optimized for performance. The role offers the chance to mentor junior engineers while addressing dynamic business needs in a fast-paced environment.
Key Responsibilities:
• Design and develop high-performing data pipelines
• Architect data lakes and warehouses for scalability
• Collaborate with teams to enhance data solutions
• Implement monitoring and observability best practices
• Tune cloud infrastructure for speed and efficiency
Requirements:
• 5–8 years of data engineering experience
• Proficiency in Python or Scala and SQL
• Familiarity with Snowflake, BigQuery, or similar
• Knowledge of Kafka, Spark, or Airflow
• Bachelor’s or Master’s in relevant field
Join a passionate team to influence data solutions that support global clients effectively as you shape a data-driven future.
#J-18808-Ljbffr
Principal Staff Engineer - AI Infrastructure
About The Role
We are seeking a
Principal Staff Engineer
to lead the architecture and development of our next‑generation AI infrastructure. This role sits at the intersection of large‑scale distributed systems and cutting‑edge machine learning, powering the platforms that enable researchers and engineers to build, train, and deploy AI models at global scale.
As a senior technical leader, you will define architectural strategy, influence cross‑organizational initiatives, and guide the design of highly reliable, efficient, and scalable systems. You’ll balance deep technical execution with strategic vision—mentoring senior engineers, collaborating with AI researchers, and ensuring our infrastructure accelerates innovation while maintaining world‑class reliability.
What You’ll Do
Design & Scale AI Infrastructure: Architect and build distributed training, inference, and data pipelines that support large‑scale AI workloads across GPUs and heterogeneous environments.
Lead Cloud‑Native Innovation: Drive adoption of Kubernetes, Docker, and modern orchestration frameworks to optimize model deployment, resource allocation, and cluster utilization.
Optimize Performance at Scale: Develop high‑throughput, low‑latency services and memory‑efficient systems to support petabyte‑scale data and massive model sizes.
Advance Observability & Reliability: Implement monitoring, tracing, and fault‑tolerance strategies to ensure resilient AI systems in production.
Collaborate with Research & Product: Partner with ML scientists, product engineers, and platform teams to design infrastructure that accelerates experimentation and model iteration.
Mentor & Inspire: Support the technical growth of senior engineers, fostering a culture of excellence, innovation, and ownership.
Shape Technical Strategy: Define long‑term roadmaps for AI infrastructure, balancing near‑term delivery with foundational investments in scalability, efficiency, and reliability.
What We’re Looking For
Extensive Experience: 10+ years in distributed systems, large‑scale infrastructure, or platform engineering, with experience supporting AI/ML workloads strongly preferred.
Programming Mastery: Deep expertise in Java, Python, or C++, with proven ability to build performant and reliable systems.
AI/ML Infrastructure Knowledge: Familiarity with ML frameworks (TensorFlow, PyTorch, JAX), distributed training strategies, GPU scheduling, and data pipeline optimization.
Modern Infrastructure Skills: Hands‑on experience with Kubernetes, Docker, CI/CD pipelines, cloud platforms (AWS/GCP/Azure), and observability tools (Prometheus, Grafana, Datadog).
Systems Design Expertise: Strong foundation in algorithms, concurrency, and systems architecture for high‑scale, fault‑tolerant environments.
Leadership & Influence: Demonstrated success driving cross‑functional initiatives, mentoring senior engineers, and setting engineering‑wide standards.
Product Mindset: Ability to balance technical rigor with usability and speed, ensuring infrastructure empowers rapid iteration and impactful outcomes.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go‑to‑market professionals with the world’s largest and most well‑known companies.
For over 20 years, we've maintained the status of tier‑one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google‑backed tech start‑ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com.
#J-18808-Ljbffr
A technology company located in Toronto, Ontario is seeking a Backend Engineer for their Metrics Platform. In this role, you will build the metrics and telemetry backbone for observability and analytics. Responsibilities include designing distributed ingestion pipelines, implementing time-series storage solutions, and exposing query APIs for analytics. The ideal candidate has over 5 years of experience in backend/distributed systems and is proficient in Go, Java, or Python. This position offers an opportunity to work with innovative technologies. #J-18808-Ljbffr
Principal Software Engineer – Global Fintech
We are seeking an accomplished
Principal Software Engineer
to lead the design and development of mission-critical financial platforms. In this role, you will architect scalable, secure, and high-performance systems that power global payments, trading, and digital banking services. You will provide technical direction, influence strategy, and mentor teams to deliver innovative solutions in one of the most dynamic and regulated industries in the world.
Responsibilities
Define and drive the architecture for complex, distributed fintech platforms.
Lead end-to-end design and implementation of core services supporting millions of users.
Ensure regulatory, compliance, and security requirements are embedded into technical solutions.
Mentor senior engineers, providing guidance on technical design, coding practices, and scalability patterns.
Collaborate with product and business leaders to align technical investments with market opportunities.
Champion engineering excellence through code reviews, testing strategies, and continuous improvement.
Qualifications
10+ years of professional software engineering experience, with deep expertise in Java, C++, or Python.
Proven track record designing and scaling distributed systems in financial services or other highly regulated industries.
Expert knowledge of microservices, cloud-native architectures, and event-driven design.
Strong understanding of database systems, both relational and NoSQL, and data modeling at scale.
Ability to influence cross-functional stakeholders and align engineering with business strategy.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
#J-18808-Ljbffr
Senior Data Scientist – Global Finance
About The Role
We are seeking a highly skilled
Senior Data Scientist
to join a global finance firm and tackle some of the most complex challenges in markets, risk, and investment strategy. You will work with large-scale financial, transactional, and alternative datasets, applying advanced statistical methods, machine learning, and AI to generate insights that directly influence trading, risk management, and business decisions across global markets.
This role sits at the intersection of data science, engineering, and finance. You will partner with quantitative researchers, traders, and technologists to design models, build scalable data products, and deliver solutions that provide a measurable competitive advantage. You will also contribute to the evolution of firm-wide data science practices, mentoring peers and setting best practices for analytics in high-stakes environments.
What You’ll Do
Model Development: Build, test, and deploy predictive and statistical models for trading, risk, and investment strategies.
Experimentation: Design and analyze experiments to evaluate new data sources, trading hypotheses, or risk frameworks.
Advanced Analytics: Apply machine learning, natural language processing, and time-series forecasting to financial and alternative datasets.
Data Engineering Collaboration: Partner with data engineers to ensure data pipelines and infrastructure are scalable, reliable, and optimized for research.
Business Impact: Translate complex data findings into actionable insights for executives, traders, and global stakeholders.
Mentorship: Share knowledge of statistical methodology, ML techniques, and applied research best practices with junior team members.
What We’re Looking For
Professional Experience: 6+ years of applied data science experience, preferably in finance, technology, or similarly data-rich industries.
Technical Skills: Proficiency in Python, R, or Scala, with strong SQL expertise; experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
Statistical Foundation: Strong knowledge of probability, econometrics, experimental design, and causal inference.
Financial Domain Knowledge: Familiarity with markets, risk modeling, or portfolio optimization is highly desirable (but not strictly required).
Big Data Tools: Experience working with large-scale distributed systems (Spark, Hadoop, or cloud-native data platforms).
Collaboration: Ability to work effectively with quantitative researchers, engineers, and business leaders in a global setting.
Education: Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Why Join
This is a unique opportunity to apply cutting-edge data science to problems of global financial significance. As Senior Data Scientist, you will help shape strategies that impact markets and clients worldwide, while working alongside some of the most talented minds in finance and technology. The challenges are complex, the datasets are massive, and the potential impact is extraordinary.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
#J-18808-Ljbffr
Drive cutting-edge AI product features as a Senior Software Engineer. Integrate LLMs and ML services into user workflows while ensuring safety and measurable outcomes in a remote environment.
This role requires designing APIs, integrating LLM/NLP technologies, and developing evaluation frameworks. You’ll focus on optimizing cost and latency while collaborating closely with research and product teams for rapid iteration. Candidates must possess strong problem-solving skills and a commitment to quality.
Key Responsibilities:
• Design APIs incorporating LLM/NLP and retrieval features
• Build evaluation frameworks to ensure feature quality
• Optimize cost and latency with prompt tuning
• Instrument features for A/B testing and analysis
• Collaborate with cross-functional teams for iteration
Requirements:
• 5+ years software engineering experience
• 2+ years applied ML/LLMs preferred
• Proficient in Python and one backend stack
• Experience with cloud-based ML ops and vector stores
• Strong product instincts and analytical skills
Take the lead in engineering innovative AI solutions, ensuring performance and quality in every deployment.
#J-18808-Ljbffr
Shape the future of AI/ML interactions as a Frontend Engineer! Design user-centric interfaces that simplify complex workflows while leveraging modern frameworks for an engaging user experience.
As a mid-level engineer, you will contribute to the development of an AI/ML platform by owning key features. Collaborate with product managers, designers, and machine learning experts to build responsive and accessible web applications. Your expertise in frontend technologies will empower developers and enterprises to easily deploy AI solutions.
Key Responsibilities:
• Build modern web applications using React or similar frameworks
• Own features from design to deployment for optimal usability
• Contribute to design systems and shared libraries
• Write clean code and optimize for performance
• Collaborate across teams to enhance user experiences
Requirements:
• 5+ years of frontend application development experience
• Proficiency in React, Angular, or Vue
• Strong JavaScript and TypeScript knowledge
• Experience optimizing interfaces for speed and accessibility
• Interest in AI/ML technologies is desirable
Utilize your frontend skills to create powerful tools and contribute to meaningful user-facing features in the exciting AI landscape.
#J-18808-Ljbffr
Senior Frontend Software Engineer
About The Role
Design and build user interfaces that make complex AI workflows simple and intuitive. You will create responsive, high performance web applications that help users interact with powerful AI capabilities.
What You’ll Do
Build modern web applications using React and TypeScript or a comparable framework.
Translate complex technical workflows into clean and intuitive user interfaces.
Integrate with backend APIs while managing state, caching, and data flows.
Ensure accessibility, responsiveness, and performance across browsers and devices.
Collaborate with product managers and designers to continuously improve user experience.
What We’re Looking For
5+ years building production web frontends.
Strong knowledge of JavaScript, TypeScript, and browser performance.
Experience working with component libraries or design systems.
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a closely related technical discipline from a highly regarded university.
Attention to detail and strong collaboration skills.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we’ve maintained the status of tier‑one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google‑backed tech start‑ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
#J-18808-Ljbffr
A cutting-edge AI infrastructure company is seeking a Senior Manager of Talent Acquisition to lead recruiting efforts amid rapid growth. This hands-on leadership role requires 8+ years in recruiting, with a focus on building high-performance teams. You will partner with executives to forecast needs and create effective strategies. Competitive compensation and benefits are offered, making this a fantastic opportunity for growth in a dynamic startup environment. #J-18808-Ljbffr
A global bank is seeking a Cybersecurity Architect with over 8 years of experience to design and implement security architectures across intricate regulated environments. This role involves collaborating with engineering teams to ensure security-by-design, aligning with regulatory frameworks, and advising leadership on emerging threats. You will have a significant impact on protecting sensitive financial data and shaping the security strategy for the bank globally. #J-18808-Ljbffr
