We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

Location: Remote (For Non-Local) or Hybrid (Local to NYC area)

Position Summary:

Join our mission to transform our nation's healthcare system as a Senior Full-stack Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. 

Why You’ll Love Working Here 

• We have a remote-first culture.
• You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
• We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. 

Position Responsibilities

In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: 

• Exercise leadership over features from design to delivery. 
• Be a partner to product, design, and quality assurance team members. 
• Become a subject matter expert on your team’s products. 
• Provide technical support to cross-functional team members and stakeholders. 
• Expand Judi, our web-based enterprise health platform, using Python, AWS services, React/Typescript, and other technologies. 
• Work in an Agile/Scrum environment. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Preferred Qualifications

We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: 

• 7+ years of job-related experience. 
• Desire to work at a health tech company. 
• Strong Python (Flask / SQLAlchemy) and React / Typescript experience. 
• Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing). 
• Experience with infrastructure as code using AWS, Terraform, or similar technologies. 
• Experience writing unit and integration tests. 
• Git expertise and experience working in a mono repo. 
• Able to demonstrate agency, urgency, and ownership over delivering quality work. 
• Strong written and verbal communication skills. 
• Previous Pharmacy Benefits Manager (PBM) experience is a plus. 

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

About the Role

The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.

This is a hybrid role based in our New York City headquarters.

Responsibilities:

Basic Qualifications:

• 5+ years of full-time data engineering experience shipping real-time solutions with‬‭ event-driven architectures and stream-processing frameworks
• Experience with cloud native architectures (AWS preferred), including service offerings and tools
• Understanding of modern API design principles and technologies, including REST,‬‭ GraphQL, and gRPC for data serving
• Programming fluency with Python
• Experience using version control and CI/CD tools, such as Github Actions and Drone

Preferred Qualifications:

• Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark‬‭ Streaming
• Experience building APIs using Python frameworks (FastAPI, Flask)
• Experience with SQL
• Understanding of modern data platforms including data lakehouse‬‭ and medallion architectures
• Experience collaborating with product and partners to meet shared goals
  
  

This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-020049

Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)

Position Summary

Join our mission to transform our nation's healthcare system as a Senior Backend Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. 

Why you’ll love working here

• We have a remote-first culture.
• You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
• We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. 

Position Responsibilities

In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: 

• Exercise leadership over features from design to delivery. 
• Be a partner to product, design, and quality assurance team members. 
• Become a subject matter expert on your team’s products. 
• Provide technical support to cross-functional team members and stakeholders. 
• Expand Judi, our web-based enterprise health platform, using Python, AWS services, and other technologies. 
• Work in an Agile/Scrum environment. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Minimum Qualifications

We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: 

• 7+ years of job-related experience.
• Desire to work at a health tech company.
• Strong Python (Flask / SQLAlchemy) experience.  
• Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing).
• Experience with infrastructure as code using AWS, Terraform, or similar technologies.
• Experience writing unit tests.
• Git expertise and experience working in a mono repo.
• Able to demonstrate agency, urgency, and ownership over delivering quality work.
• Strong written and verbal communication skills.
• Previous Pharmacy Benefits Manager (PBM) experience is a plus.  

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on streaming and realtime systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and realtime event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement realtime capabilities that power critical business workflows. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. 
• Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. 
• Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. 
• Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. 
• Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. 
• Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.  
• Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. 
• Make strong architectural choices through careful evaluation and prior experience with distributed systems.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
• Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. 
• Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. 
• AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.  
• Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.  
• Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.  
• Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment. 

(Optional) Preferred Qualifications:   

• Rust development experience or strong interest in learning Rust for high-performance systems.
• Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure. 
• Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.  
• Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Senior Software Engineer 

Dealpath's engineering team is built around technical excellence, collaboration, impact, and execution. As AI fundamentally changes how great software gets built, we're looking for talented engineers with a growth mindset who are excited to work at that frontier — and help us build the future of real estate investment management.

You’re excited about this opportunity because you’ll

• Work as part of a strong, passionate engineering team that takes craft seriously.
• Use AI coding tools (Claude Code, Cursor, and others) as a core part of your daily workflow — directing them, evaluating their output, and iterating quickly to ship great features.
• Spend more time solving real product problems and less time on boilerplate — describing the problem clearly, letting the LLM generate code and tests, then refining until it's right.
• Rapidly build and deploy new product features that directly serve the needs of the world's leading real estate investors.
• Work closely with product and design to shape and prioritize what gets built.
• Collaborate with the quality team to write testable code, fix bugs, and continuously raise the bar.
• Review commits and AI-generated code to uphold standards of quality, security, and maintainability.

We’re excited that you are

• Analytical with solid problem-solving skills and strong CS fundamentals: data structures, system design, and the ability to reason about tradeoffs.
• Comfortable working independently — you take ownership end-to-end, unblock yourself, and drive projects to completion without constant oversight.
• Strong on product sense — you think about the user and the business, not just the implementation.
• Fluent in directing AI tools like Claude Code or Cursor: you describe a problem clearly, generate code and tests, evaluate the output critically, and iterate until it's right.
•  Able to evaluate AI-generated code by the same bar as hand-written code — spotting bugs, edge cases, security gaps, and performance issues before they ship.
• A clear communicator, written and verbal, with the ability to articulate technical tradeoffs to both engineering and non-technical partners.
• Excited to work in a fast-paced startup environment and committed to a great developer and customer experience.

Qualifications

• BS in Software Engineering, Computer Science, or a minimum of 8+  years of industry experience as a software engineer.
• Strong CS fundamentals: data structures, and the ability to reason about software system design — including performance, reliability, and data integrity tradeoffs.
• Hands-on experience with AI-assisted development tools (Cursor, Claude Code, or similar) used in real production work, not just experiments.
• Demonstrated ability to work independently: you take ownership of features end-to-end, navigate ambiguity, and deliver without being managed step-by-step.
• Solid written and verbal communication skills — you can clearly describe a problem to an LLM, a teammate, or a product manager.
• 4+ years building web application back-ends using technologies like Ruby, Flask, or Node.
• 4+ years building web application front-ends with technologies like React, Angular, or Vue.

For bonus points

• You have a builder mindset — you get excited about solving complex engineering challenges, not just implementing specs.
• You are interested in Commercial Real Estate (CRE) or FinTech.
• You have experience integrating LLM APIs or building AI-assisted workflows into production systems. 
• You have worked in a high-growth SaaS company and are comfortable in a codebase that's evolving fast.

The Perks & Culture

• Medical, dental, & vision insurance coverage
• Flexible Spending Account
• Paid Parental Leave
• 401(k)
• Company sponsored commuter benefits
• Flexible time off policy
• Catered lunches and snacks
• Monthly wellness reimbursement

The estimated pay range for this position is currently set between $161,000 - $188,000 and reflects your experience, qualifications, education, and location. This position is also eligible for Dealpath's equity plan. Your actual compensation will be confirmed in writing at the time of offer.

About Dealpath

Dealpath is the world's largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, Oxford Properties, New York Life, UBS, Manulife, DWS, and Principal.

By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns.

Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital.

We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we'd love to meet you!

Who we are

“Welcoming”, “Collaborative” and “Having the opportunity to make an impact” - is how our employees describe working here.  Galileo is a financial-technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at www.galileo-ft.com. 

The role:

You will steward the 'building blocks' of modern fintech. Our APIs empower clients to build unique financial experiences, meaning your team's work directly powers the innovation of some of the world's largest fintechs.

What you’ll do:

• Build the Golden Path: Design and deliver reusable frameworks and shared infrastructure that help product squads ship secure, observable, and compliant services by default.
• Create Platform Abstractions: Identify repeated implementation patterns and turn them into modular platform components that reduce duplication and simplify service development.
• Improve Traceability and Observability: Drive adoption of common telemetry and request-correlation patterns so teams can troubleshoot and operate services more effectively.
• Advance Contract-First Development: Help make technical contracts the source of truth for service development, with tooling that keeps implementation, documentation, and schemas aligned.
• Raise the DX (Developer Experience) Bar: Build platform tools that teams adopt because they are faster, clearer, and easier to use than bespoke alternatives.
• Navigate Trade-offs Well: Make sound technical decisions that balance standardization, delivery speed, and the practical needs of individual teams.
• Partner Across Teams: Work closely with engineers, managers, and adjacent platform teams to align on patterns, priorities, and rollout plans.
• Mentor Through Practice: Coach engineers through design reviews, code review, docs, and shared implementation work; help maintain core platform libraries and support an innersource contribution model.

What you’ll need:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Distributed Systems Experience: 8+ years of experience designing and scaling resilient software systems, ideally with strong Python experience.
• Platform Mindset: Experience building shared libraries, services, proxies, or frameworks used by internal engineering teams.
• Modern SDLC Depth: Hands-on experience with CI/CD, automated testing, schema validation, and production delivery pipelines.
• Cross-Team Influence: A track record of driving technical direction and gaining buy-in from peer teams and stakeholders without direct authority.
• Cloud & Kubernetes Experience: Strong experience with AWS and Kubernetes-based environments.
• Pragmatic Engineering Judgment: Ability to identify when a problem should be standardized, abstracted, or left local.

Nice to have:

• Framework Expertise: Familiarity with Python Flask and/or FastAPI frameworks.
• Infrastructure as Code: Experience with Terraform for delivering standardized infrastructure templates.
• API Governance: Familiarity with OpenAPI/Swagger standards and the governance of large-scale API catalogs.
• Observability & Identity Experience: Experience with distributed tracing, metric taxonomies, and service-to-service authentication (S2SA) patterns.
• FinTech Experience: Domain knowledge in payment systems or highly regulated financial technology environments.

The Team

Discretionary & Client Solutions Technology is ~35 engineers across London, New York, and Sofia, building the platforms that power Man Group's discretionary investment and client facing operations. We operate at high tempo — shipping multiple production releases weekly across portfolio analytics, fund data platforms, client reporting, data pipelines, dashboards, and AI tools.

We are one of the most active AI-adopting engineering teams in Man Group — building LLM-powered agents, research tools with vector search, and AI integrations that our portfolio managers and analysts use daily. You'll have the opportunity to shape how AI is integrated into investment workflows.

The Role

This is a senior engineering role sitting at the intersection of Man Group's Discretionary (public markets) and Solutions technology teams in New York. You will be the primary NY-based engineer supporting portfolio managers, analysts and quants functions across both business lines.

The role spans Python data pipelines and analytics platforms serving Discretionary investment teams — equities, credit, and alternatives — alongside Python systems powering Solutions' fund analytics, portfolio management, and reporting infrastructure. You'll work hands-on building and operating production systems while acting as the key technical liaison for NY-based stakeholders.

Our Technology Stack

• Python (primary), TypeScript/React
• Data: Pandas, NumPy, Kafka
• Backend: FastAPI, Flask
• Frontend: React, Streamlit dashboards, Tableau
• Infrastructure: Kubernetes, Airflow
• AI tooling: Claude Code, LLM agents, vector search, RAG — we actively build and ship AI tools for our investment teams

Key Responsibilities 

Development & Delivery (70%)

• Build, extend, and maintain Python data pipelines using Pandas, NumPy, and internal libraries
• Develop and enhance portfolio analytics, risk reporting, and fund data platforms
• Contribute to AI-powered tools for investment teams — research databases with vector search, AI integrations for portfolio managers and analysts
• Build and maintain FastAPI and Flask backends and React/TypeScript frontends using our shared component libraries
• Deploy services to Kubernetes; manage Airflow DAGs for scheduled data workloads
• Collaborate with London and Sofia-based engineers on cross-team initiatives

Stakeholder Engagement (20%)

• Serve as the primary technical contact for NY-based Discretionary and Solutions stakeholders
• Gather requirements, translate business needs into technical solutions, and manage expectations
• Work directly with portfolio managers, analysts, and quants — understanding their workflows is as important as writing the code

Production Operations (10%)

• Own production stability for systems in your portfolio — investigate data quality issues, triage support requests, manage incident response
• Maintain documentation and operational processes

Key Competencies 

Essential

• 5+ years of professional software engineering experience with a strong delivery track record
• Strong Python: Well-tested, modular production code. Comfortable with dataclasses, type hints, OOP, design patterns
• Financial services experience — particularly portfolio management, risk, or investment operations
• Pandas/NumPy proficiency: Building efficient data pipelines and transformations at scale
• AI/LLM tooling — experience building with or integrating LLM-based tools. We're active early adopters of AI-assisted development and are building AI agents for our investment teams
• Solid testing discipline: pytest, unit tests, integration tests — you write tests as a matter of course
• Comfortable in a Linux environment with Git, virtual environments, and CLI tooling
• Strong communicator: You can explain technical decisions to non-technical stakeholders concisely, and you view stakeholder interaction as integral to good engineering — not overhead
• Self-directed: You manage your own priorities, flag blockers early, and drive work to completion with appropriate autonomy
• Degree in a STEM subject or equivalent practical experience

Advantageous  

• React/TypeScript for frontend development
• Experience with web APIs: Building and consuming RESTful services (FastAPI, Flask, or equivalent)
• C#/.NET familiarity — some Solutions systems are built in .NET. You won't be the primary .NET engineer, but being able to read and navigate the codebase is valuable
• Kubernetes & containerisation — deploying and troubleshooting services in k8s
• Airflow — building and maintaining scheduled data pipelines
• Distributed systems concepts — messaging architectures, event-driven design, caching strategies
• Experience working with geographically distributed teams — London will be your primary collaboration hub

Come Work With Us:

Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.

Position Summary:

Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions & Responsibilities 

Production Architecture & AIOps

• Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services.
• Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management.
• Design and maintain scalable software applications with integrated AI/ML capabilities.
• Develop software architecture and design patterns to ensure performance and scalability.
• Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go).
• Implement and manage data pipelines for preprocessing and transforming data for AI/ML models.
• Integrate AI/ML models into production environments and optimize for reliability and scalability.
• Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay current with advancements in software engineering and AI/ML technologies.
• Adhere to agile and lean software development best practices.
• Thoroughly document all developed models and processes according to relevant policies and standards.
• Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank.

Cross-Functional Collaboration

• Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms.
• Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback.

Scaling & Performance

• Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability.
• Optimize model serving using techniques like model compression, caching, and hardware acceleration.

Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues).

Qualifications & Skills:

• 6+ years of experience
• Master’s or PhD in a relevant field (Computer Science, Software Engineering,  Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML
• LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures.
• MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow).
• Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering.
• Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
• Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams).
• Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets.
• Strong understanding of AI/ML algorithms, application architecture, and design patterns.
• Excellent problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications & Skills

• Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
• Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling.
• Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams.
• Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
• Ability to work in a constantly evolving environment.
• Excellent written and verbal communication skills.
• Strong listening and teaching abilities.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Quick learner of new technologies.
• Self-directed with strong technology and communication skills.
• Ability to synthesize multiple sources of information and understand the broader operational context of the Bank.
• Collaborative team player with a practical and creative approach in a dynamic work environment.
• Ability to handle ambiguity, multitask, and adapt quickly to changing priorities.

Potential Salary: $130,000 - $200,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of DevOps Engineering Manager in the Technology Department of the ACLU’s National office in New York, NY. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the technology team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

WHAT YOU'LL DO 

Reporting to the Head of Engineering, the DevOps Engineering Manager will provide technical leadership and operational oversight for the DevOps function, overseeing a team responsible for shared infrastructure and operational enablement across data, analytics, and product engineering teams. This role partners closely with cross-functional leaders to align on priorities, manage tradeoffs, and ensure that infrastructure, deployment practices, and platform operations scale sustainably alongside growing security, reliability, and experimentation demands. 

The ideal candidate is a systems-oriented engineering leader who combines hands-on technical expertise with pragmatic people management to build and scale reliable and secure mission-critical infrastructure. They will lead DevOps engineers while also contributing directly to the architectural design and incident response needs of the products and tools used in the ecosystem. They are comfortable partnering cross-functionally with multiple discipline stakeholders, to align DevOps strategy with the mission of the ACLU, navigating ambiguity in requirements, competing priorities, early risk mitigation, and scalable operating practices. 

YOUR DAY TO DAY

• Provide direct people management and individualized support to a team of skilled DevOps engineers, fostering their continued growth and impact
• Actively prioritize DevOps work across steady-state operations and major initiatives, managing team capacity and clearly surfacing risks, constraints, and tradeoffs to engineering leadership 
• Own cross-functional coordination for DevOps work, communicating workplans, sequencing, dependencies, and progress updates to partner teams 
• Translate large, ambiguous initiatives into actionable plans by breaking work into well-scoped phases, sequencing execution, and tracking delivery  
• Provide technical and architectural leadership for infrastructure and platform decisions, ensuring solutions are scalable, secure, and aligned with organizational standards 
• Serve as primary technical liaison to partner teams in IT and InfoSec, clarifying responsibility boundaries and ensuring alignment on platform strategy, security standards, timelines, and implementation details 
• Establish sustainable operational practices, including on-call coverage, incident response, escalation paths, and post-incident learning 
• Establish and evolve documentation, standards, and shared tooling to improve reliability, reduce friction, and scale engineering effectiveness 
• Recruit, onboard, and develop DevOps team members, contributing to a collaborative, inclusive, and high-performing engineering culture   
• Advise on resource planning and staffing models to meet current and anticipate future needs of the department  

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Significant experience leading technical projects in a DevOps, SRE, infrastructure, or platform engineering role supporting production systems at scale 
• Demonstrated success in leading, coordinating, or directly managing engineers, including responsibilities for planning, prioritization, goal setting, and delivery outcomes 
• Hands-on experience deploying, managing, and optimizing production systems on major cloud platforms (e.g., AWS, Azure, GCP) 
• Experience establishing or improving DevOps practices, such as configuration management, monitoring and logging, incident response, and operational reliability 
• Experience with one or more server-side languages and frameworks (e.g. Python, Flask, PHP, node.js), with the ability to build or maintain infrastructure automation  
• Experience designing, implementing and scaling cloud infrastructure, CI/CD pipelines and modern DevOps workflows 
• Experience reviewing and contributing to code bases and Infrastructure as Code tools (e.g. Terraform, CDKTF, AWS CDK) 
• Experience with containerization and orchestration technologies (e.g. Docker, ECS) 
• Experience with monitoring and observability tools (e.g., DataDog, New Relic, CloudWatch) 
• Experience acting as a technical point of contact and/or escalation point on critical production and/or architecture design challenges 
• Experience communicating technical options and tradeoffs to technical and non-technical partners 
• Proven ability to operate effectively in environments with ambiguity, competing priorities, and evolving requirements  
• Strong people leadership skills, including providing individualized feedback, mentorship, coaching, and support for professional development 
• Excellent communication skills with the ability to convey complex technical concepts clearly and concisely 

PREFERRED QUALIFCATIONS

• Familiarity with database administration and optimization for production systems (e.g. Redshift, MySQL, MS SQL Server) 
• Experience partnering with security teams to implement baseline security controls, infrastructure changes, or secure-by-design practices 
• Experience supporting data or analytics workloads, including experimentation or research environments and compute- and storage-intensive systems  

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

We are seeking a highly skilled and experienced Technical AI Project Manager to lead and oversee the planning, execution, and successful delivery of software and AI development projects. The ideal candidate will have a strong background in managing multiple complex software development initiatives, ensuring they are completed on time, within scope, and on budget. A strong technical foundation, exceptional organizational skills, and the capacity to communicate effectively across technical and non-technical teams are essential for this position.

Department 

The Technology Division at Success Academy is the chief provider of technology infrastructure, application services, security, and support. The Division partners with teams across the organization to equip students, teachers, leaders, and staff with the innovative technology tools and know-how necessary to achieve academic and operational excellence.

The Technical AI Project Manager will be a key contributor to our mission of driving innovation across the organization. This role will be responsible for building and managing end-to-end project plans, monitoring and reporting progress, effectively managing scope and dependencies, proactively mitigating risks, and ensuring that projects are delivered within time, cost, and quality specifications. This role will be part of a highly collaborative team of professionals with a wide range of skills, including DevOps engineering, data engineering, software engineering, RPA engineering, and project management.

About the Role

• Acts as project lead, managing cross-functional teams with responsibilities for project schedule and performance.
• Ensures that business outcomes are defined, approved, and delivered. Be responsible for benefits realization and ensure that benefits are delivered in the best way possible.
• Supports strong governance, aligned with the overall governance, and ensures that timely decisions are taken.
• Communicates regularly and effectively the project roadmap and milestones with project executive stakeholders.
• Directly contributes to project definition, development, and/or enhancement efforts, including cost management/avoidance, schedule estimation and tracking, contract performance management, risk management, requirements analysis, and quality assurance activities.
• Performs analysis of business and user needs, documentation of requirements, and translation into proper requirements specifications.
• Utilizes expert communication skills needed to direct skilled technical resources and report on the technical progress, issues, and problem areas, as well as write and review technical documents.
• Answers technical questions regarding products and services and may take part in putting together proposals, configurations, and product plans.
• Prepares affected business areas for transition to a new way of working, potentially implementing new business processes.

Responsibilities

• Lead the end-to-end planning, execution, and delivery of software development and AI/ML projects.
• Collaborate with stakeholders to define project scope, goals, and deliverables that support business objectives, specifically translating business needs into technical requirements for software and AI solutions.
• Create and maintain detailed project plans, schedules, and roadmaps, including technical milestones for development, testing, and deployment phases.
• Monitor and track project progress, adjusting plans as necessary to ensure technical milestones are met and dependencies are managed effectively.
• Identify and mitigate technical risks (e.g., scalability issues, data quality, model performance, integration challenges) and resolve issues to keep projects on track.
• Facilitate communication and collaboration between cross-functional teams (software engineering, data science, AI/ML engineering, design, QA, product).
• Provide regular project status updates to stakeholders and upper management, clearly articulating technical progress and potential roadblocks.
• Manage project budgets, timelines, and resource allocations for technical teams.
• Ensure that all project documentation, including technical specifications, architecture diagrams, and model documentation, is complete, up-to-date, and accessible.
• Foster an agile development environment, leading sprint planning, daily standups, and retrospectives, with a focus on technical sprint goals and deliverables.
• Ensure that the development process aligns with best practices in software engineering, data governance, and responsible AI development.
• Drive continuous improvement of project management processes and tools, integrating best practices for technical project delivery.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Business Management, or a related field.
• 5+ years of experience in software project management, ideally in a mid-to-senior capacity, with a proven track record of delivering complex technical projects.
• Proven experience managing full software development life cycles (SDLC) from concept to deployment.
• Strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall).
• PMP, PRINCE2, or Scrum Master certification preferred.
• Experience working with tools such as Jira, Asana, Trello, Confluence, Monday.com, or similar project management software.
• Strong business analysis skills, with a focus on working with a diverse group of users to understand and solve problems.
• Ability to manage multiple projects simultaneously and prioritize tasks in a fast-paced, technically demanding environment.
• Strong problem-solving skills with the ability to make informed technical decisions under pressure.
• Proficiency in budgeting, forecasting, and resource management for engineering teams.
• Experience working with remote teams and managing distributed projects is a plus.
• Familiarity with software development practices and technical concepts, including cloud infrastructure, APIs, and version control (e.g., Git).

Desired Skills

• Experience in managing projects in cloud environments (AWS, Azure, GCP), including an understanding of cloud-native services for compute, storage, and data.
• Knowledge of DevOps practices and CI/CD pipelines, with an understanding of how to optimize release cycles for software and AI models.
• Familiarity with software testing and quality assurance processes, including automated testing and performance testing.
• Strong organizational skills with attention to detail, particularly in managing complex technical dependencies.
• Any candidate who has been part of the development team and has spent time as a developer is ideal for this role and is desired.

Technical Skills for Software Development

• Understanding of common programming languages such as Python, Java, JavaScript, C#, or Go.
• Familiarity with database technologies (e.g., SQL, PostgreSQL, MongoDB, Cassandra).
• Knowledge of front-end and back-end frameworks (e.g., React, Angular, Node.js, Spring Boot, Django, Flask).
• Experience with API design, development, and integration (RESTful, GraphQL).
• Understanding of microservices architecture and distributed systems.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Knowledge of security best practices in software development (e.g., OWASP Top 10).

Technical Skills for AI Development

• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with AWS Bedrock and its available foundation model.
• Understanding of data science concepts, including statistical modeling, data preprocessing, feature engineering, and model evaluation metrics.
• Experience with data pipelines and ETL processes for machine learning (e.g., Apache Spark, Kafka, Talend).
• Knowledge of MLOps practices for deploying, monitoring, and managing machine learning models in production.
• Familiarity with natural language processing (NLP) or computer vision (CV) concepts if relevant to the projects.
• Understanding of responsible AI principles, including fairness, interpretability, and privacy.
• Experience with big data technologies and data warehousing solutions.

We're hiring a Senior Software Engineer to join our Infrastructure team and build the backend services and APIs that make Lithic's data accessible across the organization. You'll spend roughly 80% of your time designing and building production backend services — REST APIs that serve data from Snowflake and other sources to internal teams and systems — and 20% supporting our data platform (pipelines, dbt, Airflow). You'll partner closely with the Analytics Engineering team to expose well-modeled data through clean, reliable APIs.

Job responsibilities:

Software Engineering (~80%)

• Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources
• Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling
• Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on
• Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL
• Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org
• Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own

Data Engineering (~20%)

• Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte)
• Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality
• Support data governance practices including access controls, lineage documentation, and data quality standards

Qualifications:

Required:

• Strong Python proficiency with experience building backend services and REST APIs
• Experience with web frameworks such as FastAPI, Flask, Django, or similar
• Solid SQL skills and hands-on experience with modern cloud data warehouses (Snowflake strongly preferred)
• Experience designing and building production APIs with proper authentication, versioning, and error handling
• Familiarity with CI/CD, automated testing, and operational reliability practices
• A track record of shipping reliable, well-tested services in production environments
• Comfort navigating ambiguity and driving projects forward with minimal oversight

Preferred:

• Experience with data pipeline development using tools like Airflow, Airbyte, Dagster, or similar
• Familiarity with dbt or similar transformation frameworks
• Experience in fintech, payments, or other financial services environments
• Familiarity with AWS services (Lambda, S3, RDS, API Gateway, ECS/Fargate)
• Kafka or event streaming experience
• Infrastructure-as-code experience (Terraform, Pulumi)
• Experience at a company processing high transaction volumes where correctness and reliability are non-negotiable

The annual US salary range for this role is $160,000 – $200,000 plus equity. This salary range is inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate's experience and qualifications.

This is a remote position. However, candidates must be located in the United States, Canada, Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance.

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About The Role

We’re looking for a seasoned Senior/Staff Full Stack Engineer to join the Finance Pod, which builds and maintains the complex systems that power advisor payments at Fora. This pod owns the end-to-end advisor payment system and experience (covering booking data ingestion, commission collection, and payouts), and is expanding quickly into new fintech and payment products.

In this role, you’ll work across the stack to design, build, and iterate on both advisor-facing experiences and internal tools that support reconciliation, data accuracy, and integrations with payment partners. You’ll collaborate closely with Product, Design, and Operations to bring trust, visibility, and efficiency to every interaction involving advisor earnings. Example projects include building smart visualizations for the Payments page, shaping our traveler invoicing experience, building payout statuses and notifications in the Advisor Portal, and integrating with new financial platforms and services.

Our ideal candidate is a versatile engineer who loves working on both user-facing features and the backend systems that power them—someone with a strong product mindset, attention to detail, and interest in fintech, payments, or financial infrastructure.

Key Responsibilities

• Partner cross-functionally with Product Managers, Designers, and other engineers to define and prioritize the roadmap for advisor payments, commissions, and revenue tracking tools
• Build full-stack features that allow advisors to view payment statuses, reconcile bookings, and manage service fees or commissions
• Work on backend services that support payout routing, reconciliation logic, and financial data modeling
• Collaborate with frontend engineers to create data-rich, intuitive experiences around money movement and financial transparency
• Own projects from concept through delivery—design, implementation, testing, and iteration
• Ensure high standards for code quality, scalability, and system reliability across both frontend and backend layers

Requirements

• Bachelor’s Degree in Computer Science or equivalent experience
• 5+ years of experience in frontend web development
• 3+ years experience using React / Vue.js / Angular.io
• 3+ years experience in backend web development (e.g. Python, Django / Flask / equivalent)
• Experience building data-driven, event-based applications that surface complex financial or transactional data to users
• Experience with relational databases and ORMs, particularly in integration-heavy or FinTech contexts
• Understanding of transactional accuracy, double-entry accounting, and ledger design
• Strong communication and collaboration skills; ability to thrive in a cross-functional team
• An entrepreneurial mindset and a desire to own outcomes end-to-end

Compensation

Compensation for this role varies based on experience, with an indicative range of $155K–$225K + equity. Final compensation will depend on the level at which the candidate is hired, as we’re considering multiple levels for this role.

• Unlimited vacation
• Health Insurance (including an option completely covered by Fora HQ)
• Dental & Vision Insurance
• Wellhub Memberships
• 401k plan with company match
• Commuter Benefits
• Supplemental Life Insurance
• Stock Options

This role is based in New York City with a hybrid WFH & office schedule (Monday, Tuesday and Thursday are our Tribeca in-office days, with flexibility for Wednesday and Friday at your preference). 

About The Role

We’re looking for a seasoned Senior/Staff Backend Engineer to join the Finance Pod, which builds and maintains the complex systems that power advisor payments at Fora. This pod owns the end-to-end advisor payment system and experience (covering booking data ingestion, commission collection, and payouts), and is expanding quickly into new fintech and payment products.

In this role, you’ll design and implement scalable systems that ensure payouts are fast, accurate, and transparent, while collaborating with Product and Ops to bring financial data to life in the Advisor Portal and internal tools. You’ll help build and evolve services that handle booking ingestion, payout logic, reconciliation, and integrations with payment processors like Stripe. Example projects include building smart visualizations for the Payments page, shaping our traveler invoicing experience, building payout statuses and notifications, and integrating with new financial platforms and services.

Our ideal candidate is someone who understands our mission and is excited to shape how thousands of travel entrepreneurs get paid—bringing an eye for user experience, data integrity, and trust to every interaction involving money movement.

Key Responsibilities

• Partner with Product Managers and Designers to define and prioritize the roadmap for advisor payments, commission earnings, and revenue systems
• Design and maintain distributed systems that process booking, payment, and reconciliation data at scale
• Build and optimize backend services that power payout logic, transaction timing, ledger accuracy, and integrations with third-party payment platforms
• Focus on performance, architecture, data modeling, and transactional reliability in all systems you own
• Collaborate with other engineers to define end-to-end engineering solutions that connect frontend experiences with secure, verifiable backend processes
• Own epics and be responsible for the full solution—design, implementation, and delivery

Requirements

• Bachelor’s Degree in Computer Science or equivalent experience
• 5+ years experience in backend web development
• 3+ years experience with Python, using Django / Flask / equivalent frameworks
• Strong experience designing APIs and distributed systems that handle financial or transactional data
• Experience with relational databases, ORMs, and data models that support accounting or ledger-based workflows
• Background in FinTech, Payments, or Infrastructure—especially systems involving reconciliation, double-entry accounting, or money movement—is highly preferred
• AWS experience, a plus
• Kubernetes experience, a plus
• Ability to be a team player, with strong communication and collaboration skills
• An entrepreneurial mindset

Compensation

Compensation for this role varies based on experience, with an indicative range of $155K–$225K + equity. Final compensation will depend on the level at which the candidate is hired, as we’re considering multiple levels for this role.

• Unlimited vacation
• Health Insurance (including an option completely covered by Fora HQ)
• Dental & Vision Insurance
• Wellhub Memberships
• 401k plan with company match
• Commuter Benefits
• Supplemental Life Insurance
• Stock Options

This role is based in New York City with a hybrid WFH & office schedule (Monday, Tuesday and Thursday are our Tribeca in-office days, with flexibility for Wednesday and Friday at your preference). 

About The Role

We’re looking for a seasoned Senior/Staff Backend Engineer to join us as we continue to build Fora’s products and infrastructure. Our ideal candidate is someone who understands our mission & brand, is excited about what we’re creating, and is passionate about building high quality software!  The work for this role will touch all aspects of our advisor portal, external-facing website, content and supplier systems, internal admin tools, and external integrations.

This person will report directly to our VP of Engineering.

Key Responsibilities

• Partner with Product Managers and Designers to define and prioritize the roadmap
• Alongside your fellow engineers, build the travel advisors application that is responsible for new advisors on boarding, searching and booking travel, and manages the advisor’s itineraries and interactions with their clients
• Focus on performance, architecture, clean design and clean code principles of development
• Collaborate with other engineers in order to define end to end engineering solutions
• Own epics and be responsible for the entire solution - design, implementation and delivery

Requirements

• Bachelor’s Degree in Computer Science
• 5+ years experience in backend web development
• 3+ years experience with Python, using Django / Flask / Alternative
• High API and distributed systems design skills
• Experience with relational database ORMs
• AWS experience, a plus
• Kubernetes experience, a plus
• Ability to be a team player, with strong communication and collaboration skills
• An entrepreneurial mindset

Compensation

Compensation for this role varies based on experience, with an indicative range of $155K–$225K + equity. Final compensation will depend on the level at which the candidate is hired, as we’re considering multiple levels for this role.

• Unlimited vacation
• Health Insurance (including an option completely covered by Fora HQ)
• Dental & Vision Insurance
• Wellhub Memberships
• 401k plan with company match
• Commuter Benefits
• Supplemental Life Insurance
• Stock Options

This role is based in New York City with a hybrid WFH & office schedule (Monday, Tuesday and Thursday are our Tribeca in-office days, with flexibility for Wednesday and Friday at your preference). 

PDT Partners – a quantitative investment manager – is seeking a sharp, independent analyst to join our Technical and Trading Operations team, covering Asian markets (5:30 pm - 2:30 am ET).

The Technical and Trading Operations team manages our production plant and runs our global real-time algorithmic trading around the clock from New York City. This role offers a unique opportunity to be at the center of a leading quantitative trading firm, with exposure to many parts of the business and a crucial role in helping them fit together. 

You will work collaboratively with fellow team members, as well as technologists, risk managers, and portfolio managers to oversee both our trading and technology and respond to alerts and other signs of irregular activity.  

You should thrive on the sense of urgency and quick problem-solving required in such an environment, as you will guide our systems through pre-market activities, real-time trade execution, and post-session processing.  You should also be relentless in driving continual improvement in our processes and tools, making us more efficient and resilient. You will also build tools and automation to improve PDT’s operational capabilities.  

This is a hybrid position and will require the person to work from our New York City office 1 day a week.

Why join us? 

PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size.  PDT’s very high employee-retention rate speaks for itself.  Our people are intellectually extraordinary, and our community is close-knit, down-to-earth, and diverse.   

Responsibilities 

• Monitor our trading and portfolios to ensure they adhere to risk and trading limits. 
• Monitor and guide the successful execution of algorithmic trading, rolls, and hedging. 
• Triage outages and order problems - work with internal and external groups if necessary.  
• Provide market and trading analysis, proactively investigate new opportunities and provide recommendations. 
• Prepare for and respond to market events, corporate actions, and regulatory changes. 
• Help manage the deployment of new strategies and models. 
• Help design and develop internal tools, dashboards, and automation. 
• Support post-trade activities to aid effective clearing and accurate record-keeping. 

Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.

• 3-10 years of relevant professional experience. 
• Exposure to and/or passionate interest in financial markets, asset classes, market structure, industry news, and related systems 
• Exceptional troubleshooting and problem-solving skills, particularly in fast paced, high-pressure environments. 
• Strong analytical skills and attention to detail. 
• Experience with a variety of technical competencies is desirable, which may include one or more of the following: Python, Flask, Java, C#, SQL, UNIX/Linux, networking, cloud technologies, scheduling/orchestration, etc. 

The salary range for this role is between $125,000 and $225,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.

About Swayable

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).

Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs

Technology stack

Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.

About the role

Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.

Requirements

• You have 5+ years of professional experience building scientific or quantitative data-intensive software.
• You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
• You have excellent problem solving skills and attention to detail.
• You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
• You keep up with the constantly evolving toolset for ML and AI Ops.
• You are knowledgeable about software architecture and can design scalable, performant solutions.
• You value code quality and write maintainable, testable code.

Preferred qualifications

• You have an advanced degree (MSc or Ph.D.) in STEM.
• You have a thorough knowledge of the Linux operating system.
• You have experience with Celery, and MongoDB.
• You believe in the scientific method and use data to drive decisions.
• You can give and receive informed, actionable feedback on technical and non-technical skills.
• You are experienced at mentoring junior engineers.
• You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations.

Salary range: $175k-$250k

The Role

We are seeking a highly skilled Frontend Engineer to join our team and take ownership of building our application from the ground up. This role requires a strong foundation in modern frontend development, architectural decision-making, and hands-on coding expertise to establish scalable, maintainable solutions.

Key Responsibilities

• Project Ownership: Lead the development of a new web application from scratch, setting up the architecture, tooling, and best practices.
• Architecture & Design: Define and implement frontend architecture, ensuring scalability, performance, and maintainability.
• Feature Development: Build robust, user-friendly, and responsive interfaces using React, TypeScript, and modern libraries.
• Collaboration: Work closely with product managers, designers, and backend engineers to deliver seamless user experiences.
• Quality & Testing: Establish automated testing strategies (unit, integration, end-to-end) to ensure high code quality.
• Continuous Improvement: Optimize application performance, maintain CI/CD pipelines, and stay current with industry trends.

What You Bring

• 1+ years of professional experience in frontend development with strong expertise in React.
• Experience building production web applications and contributing to project setup or new feature development.
• Proficiency in TypeScript, JavaScript (ES6+), and/or modern React (Hooks, Context, etc.).
• Interface with our Python Flask backend to integrate APIs, debug data flows, and extend functionality as needed.
• Write backend logic and make Postgres queries to support frontend features.
• Familiarity with styling libraries and UI frameworks such as TailwindCSS, Material UI, Styled Components, or Storybook for component-driven development.
• Excitement to contribute in a fast-paced startup environment and help take products from 0→1.

Nice to Have

• Experience with Next.js or other SSR frameworks.
• Background in cloud platforms (AWS, GCP, Azure) and DevOps practices.
• Knowledge of micro-frontend architectures and integration strategies.