A large adtech company specializing in real-time bidding and programmatic advertising is looking for a Senior Distributed Systems Engineer. You will be working on the company’s real-time bidding and AI-driven ad optimization engine, which processes millions of ad auctions per second while applying live machine learning models for bid pricing, fraud detection, and audience targeting across global data centers with strict latency requirements under 50 milliseconds.

The environment is primarily Go and Java, with performance-critical components in C++. Systems run on Kubernetes across multiple AWS regions, with Kafka handling high-volume event streaming and Cassandra managing distributed storage. AI models are trained in Python using PyTorch and deployed as low-latency inference services integrated directly into the bidding pipeline. Must-have skills include deep experience designing and operating distributed systems at scale, strong understanding of concurrency, networking, and fault tolerance, and hands-on experience with streaming systems and distributed databases. Experience integrating real-time inference services into high-throughput systems is required. Solid understanding of consistency models, replication, partitioning strategies, and tail-latency optimization is essential. Pluses include experience with model serving frameworks, feature stores, GPU acceleration, and large-scale online learning systems.

You will design and optimize core services that handle extreme throughput while incorporating real-time AI scoring. You will reduce tail latency in inference paths, improve resiliency across distributed components, and troubleshoot cross-service failures in globally distributed environments. You will collaborate with ML engineers to ensure model deployment does not degrade performance and that inference pipelines remain stable under peak load. You will also drive architectural improvements that balance speed, accuracy, and infrastructure cost.

The company operates one of the largest independent real-time advertising exchanges in the market, where milliseconds and model accuracy directly impact revenue. Engineers here solve technically complex problems at the intersection of distributed systems and applied AI. The team values deep systems thinking, measurable performance impact, and ownership of production-scale infrastructure.

A venture-backed healthcare analytics company is looking for a Senior AI Engineer. You will be working on a clinical decision-support system that analyzes patient records, lab data, and imaging metadata to assist physicians in risk prediction and treatment optimization.

The environment includes Python, PyTorch, Hugging Face Transformers, and scikit-learn for model development, with data pipelines built in Airflow and Spark. Models are deployed via Docker and Kubernetes on AWS (S3, EKS, SageMaker). Must-have skills include strong experience building and fine-tuning LLMs or deep learning models, working with structured and unstructured data, prompt engineering, and deploying models into production environments. Solid understanding of model evaluation, bias mitigation, and performance monitoring is required. Pluses include experience with healthcare datasets (HL7, FHIR), HIPAA-compliant systems, retrieval-augmented generation (RAG), and model optimization for latency and cost efficiency.

You will design, train, evaluate, and deploy machine learning and generative AI models that directly impact clinical workflows. You will collaborate with data engineers and product teams to define model objectives, improve inference pipelines, and ensure production reliability. You will also monitor model drift, retrain systems as needed, and implement governance and safety controls appropriate for regulated environments.

The company builds AI systems that improve real-world healthcare outcomes, not just dashboards. Engineers here work on meaningful problems where model accuracy and reliability directly affect patient care. The team values scientific rigor, practical deployment skills, and responsible AI development.

A mid-sized fintech company focused on real-time payments and fraud detection is looking for a Senior DevOps Engineer. You will be working on the company’s core transaction processing and risk-scoring platform, which handles millions of daily financial events across web and mobile applications.

The environment is AWS-based and heavily containerized. The stack includes EKS, EC2, RDS (PostgreSQL), Redis, S3, and VPC networking. Infrastructure is managed via Terraform. CI/CD pipelines are built in GitHub Actions with container deployments through Docker and Kubernetes. Monitoring is handled using Datadog and CloudWatch. Must-have skills include deep experience with AWS production environments, Kubernetes cluster management, infrastructure as code with Terraform, and building reliable CI/CD pipelines. Strong scripting in Bash or Python is required. Pluses include experience with PCI-compliant environments, performance tuning for high-throughput APIs, and implementing automated security controls in financial systems.

You will design and maintain production infrastructure, improve deployment automation, reduce system latency, and ensure high availability of transaction services. You will partner with backend engineers to optimize application performance, manage scaling strategies for peak payment volumes, and implement monitoring and alerting standards. You will also lead incident response efforts and drive post-mortem improvements to prevent recurrence.

The company operates at the intersection of finance and real-time data systems, where reliability and security are critical. Engineers here work on systems that directly impact revenue and user trust. The team values practical problem-solving, ownership, and continuous infrastructure improvement.

Role Overview

We are seeking a Director with a strong financial and technical background to lead the integration and modernization of our global payment systems. This role sits at the intersection of finance, engineering, and AI innovation.

The Director will oversee a 12-person direct team, with an additional 8-person team as indirect reports, and will manage integration initiatives across payment platforms, FX infrastructure, digital currencies, and AI-driven automation. This role reports to the CTO and partners closely with the CFO and CBO.

The ideal candidate is equally comfortable discussing SME-level financial workflows and overseeing deeply technical architecture decisions.

Key Responsibilities

• Lead end-to-end integration of payment systems across global markets
• Oversee architecture and operational design of payment rails, smart routing, and settlement systems
• Implement and scale GenAI-driven automation across payment operations and reconciliation workflows
• Drive FX infrastructure strategy, including cross-border settlement optimization
• Evaluate and integrate digital currency capabilities, including stablecoins and tokenized assets where relevant
• Manage departmental budget planning in coordination with CTO, CFO, and CBO
• Lead a 12-person team directly, mentoring technical and functional leads
• Oversee additional 8-person indirect team supporting payments operations
• Align payment technology strategy with overall company financial objectives
• Ensure compliance with relevant regulatory frameworks across jurisdictions

Required Qualifications

• 10+ years in financial systems, payment infrastructure, or fintech leadership
• Strong foundation in accounting, treasury, or financial operations
• Deep knowledge of payment networks (ACH, SEPA, SWIFT, card networks, RTP, etc.)
• Experience with FX operations and cross-border settlements
• Experience integrating digital currencies or blockchain-based payment solutions
• Proven track record leading technical integration initiatives
• Strong working knowledge of AI applications in finance, including GenAI automation
• Ability to translate business requirements into technical architecture
• Experience managing multi-disciplinary teams

Preferred Qualifications

Experience with treasury management systems

Experience in EU and/or Latin American markets

Familiarity with PSD2, open banking, AML/KYC frameworks

Background in high-growth or scaling technology companies

Exposure to smart routing / smart sockets infrastructure

About the Company
We are an early-stage consumer mobile startup building a relationship-driven product that prioritizes intent, signal quality, and long-term outcomes over shallow engagement. The platform incorporates AI where it meaningfully improves decision-making, filtering, and user experience, not as a novelty layer.

Role Overview
We are looking for a senior engineer to own the technical foundation of a consumer mobile application with AI-assisted features. This is a hands-on builder role. You will work directly with the founder to implement core product functionality, design scalable systems, and integrate AI components thoughtfully into the product.

You should be comfortable building end-to-end systems, making early architectural decisions, and using AI as a tool, not a crutch.

Core Responsibilities

• Build and maintain the core mobile application
• Design and implement backend services and APIs
• Architect data models and pipelines that support AI-driven features
• Integrate AI components for filtering, ranking, matching, or decision support
• Evaluate tradeoffs between in-house models, third-party APIs, and hybrid approaches
• Ensure performance, reliability, and data integrity
• Implement authentication, payments, and user data flows
• Work closely with the founder on feasibility, sequencing, and constraints
• Establish engineering standards suitable for an early-stage product

Technical Profile

• Strong experience building consumer mobile apps (iOS, Android, or cross-platform)
• Solid backend experience with APIs, databases, and cloud infrastructure
• Practical experience integrating AI or ML into production systems
• Familiarity with LLMs, embeddings, ranking systems, or recommendation logic
• Experience designing systems that evolve without constant rewrites
• Understanding of privacy, security, and ethical considerations around user data
• Ability to debug real production issues across the stack

What We re Looking For

• Senior-level engineering judgment
• Comfort working with ambiguity and incomplete specs
• Product-aware mindset with willingness to challenge ideas that add noise
• Ability to explain technical tradeoffs clearly
• Preference for simple, maintainable systems over clever ones

Nice to Have

• Early-stage or founding engineer experience
• Experience with AI-driven consumer products
• Exposure to subscription models, payments, or identity systems
• Interest in behavioral signals, incentives, and long-term user outcomes

Why This Role

• Ownership of the technical and AI foundation
• Direct collaboration with the founder
• Influence over both architecture and product quality
• Flexible engagement model, full-time, contract, or hybrid

Please be based in the US, ideally around NYC.

A mid-size Healthcare IT organization is seeking a Senior Technical Project Manager to support projects involving healthcare data workflows, AI-enabled tools, AWS-hosted clinical applications, and regulatory compliance. This role reports into technology and compliance leadership and is responsible for coordinating requirements, managing timelines, supporting audit and privacy activities, and ensuring successful execution of system integrations and updates across clinical, data, and operational teams.

The position will lead projects that involve EHR-generated reports, claims and eligibility data, clinical notes, and other structured or unstructured healthcare data, and will work closely with engineering, data, privacy, information security, and clinical operations. The ideal candidate has experience using AI powered tools such as Jira AI, Confluence AI, ServiceNow AI, Copilot, or ChatGPT for summarization and documentation, and is comfortable supporting AI assisted workflow improvements or automation projects. Experience with dashboards using Tableau, Power BI, or AWS QuickSight is required, and familiarity with AWS environments is expected, including exposure to S3 storage, Lambda based automation, RDS backed application databases, API Gateway integrations, or QuickSight reporting that supports healthcare operations.

The role will partner with privacy and compliance teams to assist with HIPAA, HITECH, and SHIN-NY aligned activities, including audit evidence collection, documentation of findings, corrective action tracking, and contributions to policies, procedures, training materials, and annual QE certification requirements. Responsibilities also include maintaining records of compliance activity, supporting onboarding and termination processes for healthcare participants, reviewing documentation for consent and privacy obligations, and helping resolve compliance or privacy related issues in coordination with internal teams and external partners. Strong collaboration skills are required, as the role will work across engineering, data, customer excellence, security, and clinical operations to support regulated technology initiatives.

Candidates should have five or more years of experience in healthcare IT, project management, healthcare compliance, or related technical roles, with strong communication abilities, high attention to detail, experience managing confidential information, and familiarity with regulated healthcare environments. Knowledge of SHIN-NY policies and HIE operations is preferred, as is experience supporting audits or compliance reviews. A bachelor s degree in a healthcare or technology related field is required, and certifications such as CHC or CHPC are considered a plus.

A leading pharmaceutical organization focused on innovation in research and drug delivery, is seeking a Director of DevOps and Containerization to drive the modernization of cloud infrastructure, CI/CD pipelines, and container orchestration strategy. This is a hands-on leadership role, ideal for an engineer-manager with deep technical experience in automation, infrastructure-as-code, and container platforms, combined with strategic oversight of development and deployment workflows across the enterprise.

Key Responsibilities

• Lead the end-to-end design, implementation, and optimization of CI/CD pipelines across multiple product and research teams.
• Define and enforce DevOps best practices to support scalable, secure, and compliant deployment environments aligned with GxP and pharma data regulations.
• Architect, implement, and manage container platforms (Kubernetes, Docker) for both development and production workloads.
• Collaborate closely with application and data engineering teams to enable reproducible, automated environments across research and production systems.
• Oversee infrastructure configuration, IaC (Terraform, Ansible, or equivalent), and environment management across cloud and hybrid setups (AWS / Azure / Google Cloud Platform).
• Mentor DevOps engineers and guide the transition toward microservices-based deployments.
• Collaborate with QA, Compliance, and InfoSec to ensure systems meet all regulatory and security requirements.
• Drive performance monitoring, logging, and observability initiatives across containerized and cloud-native systems.
• Contribute to codebase and automation scripts as needed strong coding ability in Python and Java required.

Required Skills & Experience

• 10+ years of experience in software infrastructure, DevOps, or cloud engineering; at least 3+ years in a leadership or director-level capacity.
• Proven expertise in container orchestration (Kubernetes, Docker, Helm) and CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.).
• Strong background in cloud platforms (AWS, Azure, or Google Cloud Platform), including VPC design, IAM, and cost optimization.
• Hands-on experience with infrastructure as code (Terraform, Ansible, or CloudFormation).
• Proficient in Java and Python for automation, deployment tooling, and application integration.
• Familiarity with pharma or regulated environments (GxP, HIPAA, FDA validation frameworks) strongly preferred.
• Excellent leadership, communication, and stakeholder management skills.

Nice to Have

• Exposure to data pipelines (Airflow, Kafka, or similar) and ML/AI infrastructure management.
• Understanding of container security (Falco, Aqua, Prisma Cloud) and DevSecOps principles.
• Experience modernizing legacy applications to containerized or serverless environments.

A Global Professional Services Firm is looking for a Database Project Manager (DB PM) who can balance client engagement with hands-on technical execution. In this role, you ll manage enterprise database projects, lead pre-sales and delivery efforts, and work closely with our cloud and AI engineering teams. Half your time will focus on project leadership and client interaction, and the other half on physical and logical database engineering.

Responsibilities:

• Manage full lifecycle of database projects: scoping, planning, delivery, and support.
• Partner with clients, internal cloud, and AI teams to define requirements and deliver solutions.
• Lead pre-sales activities, technical presentations, and solution design discussions.
• Design, implement, and optimize RDBMS and AI-integrated database systems.
• Support datacenter operations, including performance tuning, backup, and migrations.
• Automate and enhance processes using Python and SQL.
• Build Tableau dashboards for analytics, performance metrics, and executive reporting.
• Translate business and AI functional needs into scalable database architectures.

Required Skills:

• 7+ years of combined experience in database engineering and project management.
• Strong technical foundation in RDBMS (Oracle, SQL Server, PostgreSQL, MySQL).
• Experience with datacenter infrastructure and hybrid environments.
• Proficiency in Python, SQL, and Tableau.
• Solid understanding of AI functional workflows and data requirements.
• Excellent communication and stakeholder-management skills.

Preferred:

• Familiarity with AWS RDS, Azure SQL, Google Cloud Platform Cloud SQL, or Snowflake.
• Background with AI/ML data pipelines or analytics systems.
• PMP, Agile, or similar certification.

Overview

We are seeking a hands-on Cloud Director to lead cloud strategy, infrastructure implementations, and AI-driven initiatives for a high-performance trading environment. This role combines technical leadership, business development support, and deep execution capabilities across cloud, data center, DevOps, and AI platforms. The ideal candidate has a track record of building scalable, secure, and resilient systems for finance and trading organizations.

Key Responsibilities

• Cloud Strategy & Execution: Define and lead multi-cloud and hybrid architectures (AWS, Azure, Google Cloud Platform), ensuring scalability, cost optimization, and regulatory compliance.
• Infrastructure Leadership: Oversee data center integrations, networking, storage, and high-availability systems supporting low-latency trading environments.
• AI & Advanced Analytics: Implement AI/ML platforms for risk modeling, algorithmic trading, and predictive analytics. Collaborate with data science and quant teams to operationalize models.
• DevOps & CI/CD: Lead modern DevOps practices, driving automation with Jenkins, Git, Kubernetes, Docker, and IaC (Terraform/Ansible). Ensure rapid, reliable deployments.
• Business Development Support: Partner with leadership to evaluate client infrastructure needs, present solutions, and assist in pre-sales and client-facing discussions.
• Security & Compliance: Implement industry best practices in cloud security, regulatory compliance (FINRA, SEC, SOX), and disaster recovery/business continuity.
• Team Leadership: Mentor engineers across cloud, DevOps, and infrastructure domains, while remaining technically hands-on in critical projects.

Required Skills & Experience

• 10+ years in infrastructure/cloud engineering, with at least 5 years in leadership roles.
• Proven background in financial services, trading systems, or capital markets infrastructure.
• Expertise in cloud platforms (AWS, Azure, Google Cloud Platform) and hybrid cloud/data center strategies.
• Hands-on skills in DevOps tools (Jenkins, Git, Kubernetes, Docker, Terraform, Ansible).
• Strong knowledge of data center operations, networking (low-latency), and high-availability design.
• Familiarity with AI/ML infrastructure (model deployment, MLOps, GPU/accelerated computing).
• Excellent communication and business development support experience (client-facing, proposals, technical presentations).
• Knowledge of finance/trading regulatory standards and security frameworks.

Preferred Qualifications

• Experience working with quant teams, algorithmic trading desks, or financial SaaS platforms.
• Certification(s) in cloud technologies (AWS Solutions Architect, Azure Architect, Google Cloud Platform Professional Cloud Architect).
• Strong background in disaster recovery planning and global infrastructure rollouts.

We are a fintech firm building next-generation trading systems that apply machine learning and AI to streamline day trading. Our mission is to combine market expertise with cutting-edge technology to deliver smarter, faster, and more efficient trading execution.

Role Overview

We are seeking a hands-on Director of Engineering to lead the design, development, and deployment of our AI-driven trading platform. This leader will own the technical roadmap, manage a small engineering team, and stay actively involved in coding, architecture, and system optimization. The ideal candidate brings deep expertise in Python and data engineering, coupled with experience building scalable, real-time trading or analytics systems.

Responsibilities

• Lead architecture and development of the firm s AI-driven day trading platform.
• Drive hands-on coding and mentorship across the engineering team.
• Build and optimize machine learning pipelines for market prediction, trade execution, and risk management.
• Oversee storage, retrieval, and streaming of high-volume market and alt-data.
• Manage infrastructure on cloud platforms, ensuring scalability and reliability.
• Collaborate with traders, quants, and data scientists to translate strategies into production-ready systems.
• Implement monitoring, logging, and fail-safe systems for production trading.
• Ensure compliance, security, and best practices in software development lifecycle.

Requirements

• Strong proficiency in Python and core data libraries (Pandas, NumPy).
• Experience with machine learning frameworks (scikit-learn, PyTorch, TensorFlow).
• Background in data storage using PostgreSQL and/or MongoDB.
• Expertise in cloud platforms (AWS, Google Cloud Platform, or Azure).
• Hands-on experience with containers (Docker, Kubernetes).
• Familiarity with streaming frameworks (Kafka or equivalent).
• Strong knowledge of Git and modern DevOps practices.
• Experience with ELK stack (Elasticsearch, Logstash, Kibana) or equivalent monitoring tools.
• Proven track record building or scaling real-time trading or financial systems.

Nice to Have

• Knowledge of FIX protocol, broker APIs, and exchange connectivity.
• Understanding of market microstructure and execution algorithms (VWAP, TWAP, smart order routing).
• Prior leadership in a fintech, hedge fund, or trading firm.
• Experience with reinforcement learning or advanced AI techniques applied to finance.

What We Offer

• Opportunity to lead and build technology at the intersection of AI and finance.
• Competitive compensation and performance-based incentives.
• Collaborative environment bridging fintech innovation and market expertise.
• Chance to shape and scale a next-generation trading platform.