Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).
Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.
Develop and maintain specific data repositories, implementing enterprise‑level data models, and creating new models as needed.
Enable AI/ML readiness by ensuring data is well‑structured, versioned, traceable, and semantically aligned with enterprise data standards.
What we expect
:
Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
6+ years
of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.
Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.
Familiarity with Databricks AI/BI or Tableau or other BI tools.
Expertise in ETL and DWH.
Experience with NoSQL and graph databases.
English language proficiency of B2+
Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements.
Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.
Nice to have
:
Experience with regulated or standards‑driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.
Familiarity with high‑dimensional data (e.g., imaging, sensor data, etc).
Experience with principles connecting to or feeding MLOps and model deployment workflows.
Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.
Exposure to knowledge graph or ontology‑driven architectures.
We offer
:
Competitive compensation
Remote work
Flexible working hours
Continuous education, mentoring, and professional development programs
A team with an excellent tech expertise
УдалённоseniorQuantori is an international team: we have colleagues who work not only from office but also remotely from all over the world
Location: New York, New York
At Ernesta, our mission is to bring gorgeous, design-focused custom rugs to homes and places of gathering through a frictionless, transparent, and affordable experience. At the same price as a store-bought, standard-sized rug, a custom-cut rug from Ernesta is not only a better fit, but it will be higher quality and a better buying experience.
We believe that high-quality, custom design shouldn’t be out of reach for consumers, and are working to expand a multi-billion dollar global industry in order to reach this goal.
Driven by our collective mission, our team is humble, smart, sincere, and scrappy. We’re a strong team of problem solvers, innovators, and executors, relentlessly focused on creating and delivering beautiful and delightfully simple and seamless solutions and experiences for our customers. Together, we are excited by the potential to change the global design landscape as we know it.
About the Role:
The Ernesta’s technology team builds the technology solutions that power the end-to-end business operation of an industry-leading custom rug purchasing experience. This includes a custom-built order management system, manufacturing workflow tools, and delivery management systems. These systems work together to power a self-service-first purchasing experience that exceeds customer expectations before and after their rug purchase.
As a Senior Backend Engineer, you will be a foundational member of the engineering team building Ernesta’s in-house order management system from the ground up. You will own the backend architecture for transactional systems that manage order lifecycles, fulfillment workflows, inventory, and integrations with Shopify, Salesforce, and third-party logistics providers. You will be designing and building the core systems that run the business.
What You’ll Do:
Design, build, and maintain backend services for Ernesta’s custom order management and fabrication system using Node.js and PostgreSQL
Own the data model and transactional logic for core business entities: orders, line items, fulfillments, inventory, customers, and product SKUs
Build and maintain integrations with external systems including Shopify, Salesforce, and third-party logistics and fulfillment providers
Implement order lifecycle workflows: creation, confirmation, production, fulfillment, shipping, delivery, and returns
Design RESTful APIs and MCP service that serve internal tools and connect to the broader e-commerce ecosystem
Collaborate closely with the Business Systems Product Manager to translate domain model specifications and business rules into reliable, performant backend systems
Translate product specifications — including entity definitions, state machines, and business rules — into physical database schemas, migration strategies, and API contracts
Ensure data integrity across systems, defining source-of-truth sync logic and integration contracts between the ERP and external platforms
Write automated tests and contribute to CI/CD pipelines to maintain code quality and deployment reliability
Qualifications Include:
5+ years of backend software engineering experience with strong proficiency in Node.js and relational database such as PostgreSQL
Experience designing and building transactional data models for systems that manage orders, inventory, fulfillment, or similar operational workflows
Hands-on experience building and maintaining integrations with external platforms (e.g., external APIs, payment processors)
Strong understanding of relational database design: normalization, indexing, constraints, and migration strategies
Experience with event-driven architecture patterns (message queues, webhooks, pub/sub) for system-to-system communication
Experience building and documenting RESTful APIs
Familiarity with cloud infrastructure (AWS or GCP), containerization (Docker), and CI/CD tooling
Ability to work autonomously in a small team environment where you own significant portions of the system end to end
Domain experience in order management, e-commerce fulfillment, supply chain, or manufacturing systems is strongly preferred
Strong communication skills to collaborate with product, operations, and business stakeholders
Ernesta is committed to inclusion. We are an equal opportunity employer and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
The starting base pay for this role is between $170,000 and $210,000. The actual base pay is dependent upon many factors, such as: experience, education, and skills. This role may also be eligible for equity, and benefits.
Location: Hong Kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
As a Senior Security Engineer, you will play a hands-on role in building, operating, uplifting, and evolving core security platforms and controls across hybrid, multicloud, and on-prem environments. You will act as a subject matter expert for key security solutions, ensuring security controls are observable, scalable, and well integrated across the wider technology ecosystem. You will actively partner with stakeholders, build strong relationships with engineering, infrastructure, and wider business teams, and collaborate across functions to help shape a modern, scalable security function from the ground up.
Key Responsibilities
Perform the hands-on implementation, operation, and continuous improvement of core security platforms and key security controls, including responsibility for platform health, effectiveness, and ongoing evolution
Act as subject matter expert for assigned security solutions, championing their roadmap, integration, and operational performance
Support hands-on BAU operation of security products within a global, 24/7 follow-the-sun Security Operations model, including participation in rotational weekend coverage, in depth troubleshooting, and responding to security events that impact system availability, stability, or operational performance, acting as an escalation point for complex issues
Design and implement new security controls and technologies to strengthen the organisation’s cyber resilience
Drive security solution observability and monitoring, ensuring appropriate coverage, alerting, and operational visibility
Implement automated and scalable security solutions, processes, and controls across hybrid, multi cloud, and on prem environments to improve resilience and reduce manual effort
Oversee and support security changes in a controlled and well communicated manner
Build, maintain, and continuously improve operational runbooks, playbooks, and procedures to support reliable day to day operations
Partner with engineering, infrastructure, and wider business stakeholders to embed practical, scalable security controls that support fast moving delivery models
Contribute to the design, implementation, and enforcement of security policies, standards, and best practices
Position security as a business enabler by aligning controls with operational effectiveness and supporting innovation without compromising protection
Mentor and support other engineers through technical guidance, knowledge sharing, and practical leadership
To be considered a good cultural fit, you should have:
Humble, curious and hungry to learn
Flexible and reliable team player who enjoys working in a collaborative environment
Strong communication and interpersonal skills will be needed to collaborate with colleagues across the firm globally
Your Present Skillset:
Minimum 10 years’ experience in a security engineering or closely related role
Strong hands-on experience operating and uplifting security technologies including firewalls, EDR, identity solutions, vulnerability management platforms, SASE, CASB, proxies, SIEM and security analytics, cloud security controls, and automation driven security platforms
Strong technical foundations across networking, operating systems, cloud platforms, and security engineering concepts
Solid understanding of major network protocols across multiple layers of the stack
Experience protecting and safeguarding data and assets at both the network and platform layers
Proven hands-on experience operating security controls and security operations capabilities in production environments
Ability to analyse network traffic and troubleshoot complex issues using tools such as tcpdump and Wireshark
Strong understanding of offensive security from an adversary perspective, including how attacks manifest and how controls fail in real world environments
Demonstrated ability to identify and respond to threats in distributed environments, particularly where system availability, stability, or operational performance is impacted
Programming or scripting skills in at least one high level language, with a strong focus on automation and operational efficiency
Strong sense of ownership and accountability, with a track record of driving complex issues through to resolution
Broad understanding of security principles and technologies spanning product and software security, cloud platforms, and business applications
Experience securing both Windows and Linux based systems
Extensive experience with one or more public cloud platforms such as AWS, Microsoft Azure, or Alibaba Cloud, particularly within hybrid environments
In-depth knowledge of threat modelling, risk assessment, and mitigation strategies for largescale, complex systems in fast paced environments
Experience with low latency or performance sensitive financial systems is an advantage
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: London Office; Berlin Office
Workplace: Hybrid
About The Role
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space.
If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here.
What You'll Do as an Sr. Applied AI Engineer
- Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers.
- Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges.
- Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself.
- Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features.
About You
- You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.
- You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.
- You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection.
- You write clean, maintainable Python and SQL, and have a good understanding of REST APIs.
- You excel at breaking down complex problems and abstracting them into scalable, reusable solutions.
- You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale.
- You are open to a hybrid work model and can work from our London or Berlin office at least three days per week.
Ideal Qualifications (but not required)
- You have experience in building AI applications within financial services.
- You have experience in applying and optimizing statistical and machine learning models to solve business problems.
- You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).
What We Offer
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package.
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com
Location: New York Office
Workplace: Hybrid
About The Role
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space.
If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here.
What You'll Do as an Sr. Applied AI Engineer
- Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers.
- Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges.
- Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself.
- Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features.
About You
- You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.
- You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.
- You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection.
- You write clean, maintainable Python and SQL, and have a good understanding of REST APIs.
- You excel at breaking down complex problems and abstracting them into scalable, reusable solutions.
- You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale.
- You are open to a hybrid work model and can work from our NYC office at least three days per week.
Ideal Qualifications (but not required)
- You have experience in building AI applications within financial services.
- You have experience in applying and optimizing statistical and machine learning models to solve business problems.
- You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).
What We Offer
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package.
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in New York City, New York. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$201,000 - $264,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$236,000 - $290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE. https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for an engineer who can walk into messy, cross-functional workflows and turn them into clean, automated systems that scale. This role focuses on identifying high-friction operational processes across the company and replacing them with durable, API-driven automation. You will work across IT, Security, Engineering, and Business teams to reduce manual work, improve reliability, and build systems that scale with the company.
This is not a ticket-driven IT role. You will operate with a high degree of ownership, driving initiatives end-to-end from problem discovery through implementation and rollout. You will be part of the Business Technology - Corporate Engineering team and report to the Director of Business Technology.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Identify and automate high-impact operational workflows across onboarding, offboarding, access management, and service delivery
Replace manual, fragmented processes with scalable, API-driven systems
Build and maintain integrations across HRIS, identity providers, SaaS platforms, and cloud environments
Develop internal tools and automation using platforms like Retool, Okta Workflows, and custom scripts or services
Apply infrastructure-as-code to manage and version system configurations
Incorporate AI into workflows to improve efficiency in areas like ticket routing, knowledge retrieval, and decision support
Design and automate access and security workflows that enforce least-privilege and auditability
Own and drive cross-functional initiatives end-to-end, from problem definition through implementation and rollout
The ideal candidate has:
4–7+ years of experience in IT, platform engineering, automation, or similar roles
Strong scripting or programming ability in Python, Go, Node.js, PowerShell, or similar
Experience building API-driven automation across multiple systems
Ability to design and implement workflows that span multiple tools and teams
Experience with infrastructure-as-code such as Terraform or similar
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What will make you stand out:
Hands-on experience with identity and access systems (Okta, SSO, SCIM, RBAC), including implementation and ongoing management
Proven ability to build and scale internal tools using platforms like Retool or other low-/no-code solutions
Familiarity with security automation and orchestration (e.g., Tines), with an eye toward reducing manual effort and risk
Practical experience leveraging AI/LLMs to streamline and enhance operational workflows
Strong understanding of compliance and security standards (HIPAA, SOC 2, HITRUST) and how they shape systems and processes
Focused on driving meaningful outcomes
Able to identify root-cause, system-level issues and design durable solutions rather than quick fixes
Comfortable navigating cross-functional environments with competing priorities and constraints
Operates with urgency while building scalable, maintainable solutions
Defaults to automation and efficiency wherever possible
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Okta, Okta Workflows, Retool, FreshService (ITSM), Google Workspace, Slack, Atlassian (Confluence and Jira), MDM platforms (Jamf Pro, Kandji/Iru, Intune), Airtable, AWS and GCP, Terraform, Rippling (HRIS), SOAR (Tines), and AI-enabled operational tooling (Claude, Gemini, OpenAI)
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $189,000 - $220,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York, NY (HQ); Remote (Canada); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT PRODUCTION ENGINEERING
Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them.
A few things that define how we operate:
- One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.
- If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack.
- We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed.
- We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.
- We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters.
You cannot build the future of finance on shaky infrastructure.
OUR TEAMS
Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.
Right now, we operate across four areas:
- Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale
- Storage — databases, caching, object storage, and the data infrastructure that underpins everything
- Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture
- Internal Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs
WHAT YOU'LL DO
Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.
Day to day, you will:
- Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
- Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
- Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
- Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
- Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.
- Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.
- Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.
- Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.
WHAT WE LOOK FOR
We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team.
The mindset we're looking for:
- You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem.
- You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job.
- You move with urgency but without chaos. You know when to go fast and when to slow down and do it right.
- You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win.
- You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one.
- You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am.
Experience profile:
- 2+ years of software engineering experience shipping high-quality architectures for critical systems
- Strong software engineering fundamentals — you write clean, well-tested, production-ready code
- Hands-on experience with distributed systems at production scale
- Experience with at least one major cloud provider (AWS preferred)
- Familiarity with observability practices (SLOs, error budgets, alerting, dashboards)
- Track record of leading technical projects end-to-end, including cross-team coordination
- Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — we expect our engineers to leverage these tools to move faster and think bigger
Bonus (not required):
- Experience with cellular or multi-tenant architecture patterns
- Prior work on workflow orchestration systems (Temporal)
- Contributions to developer experience or internal platform tooling
- Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2)
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Dallas, USA; New York, USA; Orlando, USA
As a Principal AI Solutions Architect within DataArt’s Healthcare & Life Sciences practice, you will bridge the gap between advanced AI tools and real-world business impact. You’ll operate at the intersection of hands-on prototyping, cross-functional collaboration, and stakeholder education. Your focus: drive measurable client outcomes through AI-enabled efficiencies and new digital experiences.
You will shape how AI is adopted across the healthcare and life sciences industries — from intelligent copilots and personalization engines to developer acceleration and operational optimization — by prototyping real solutions, articulating business value, and driving adoption from C-suite to delivery teams.
You will work closely with client account teams (50+ active clients) and DataArt’s AI + Data Lab to identify high-value use cases, prototype rapidly, validate with stakeholders, and showcase scalable solutions that clients can adopt.
The estimated OTE for this position is 220,000 to 260,000 USD per year.
Lead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leaders
Rapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)
Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignment
Own the "show-and-tell" lifecycle: internal demo → stakeholder validation → external client presentation
Develop GenAI applications based on RAG variations, Agentic, hybrid models. Leverage Agentic SDLC and advocate for adoption. Develop with hyperscaler AI tools (Azure, GCP, AWS), LLM APIs, vector search, GenAI, Agentic SDKs and Agentic Runtimes (Agent Core, Agent Engine, etc.)
Define reusable AI building blocks and Healthcare-specific agent scaffolds that feed into the Connect AI ecosystem
Build working solutions integrated with cloud data platforms like Snowflake and Databricks
Embed AI into client-facing products or operations (e.g., personalization, crew ops, service automation)
Shape internal best practices for GenAI use in SDLC and Healthcare product lifecycle — from opportunity discovery to ops telemetry
Create AI demo assets: notebooks, dashboards, blog content, or walkthrough videos
Run workshops and working sessions with client teams and business leaders
Act as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROI
Hands-on experience with AI services from at least one major cloud provider (Azure, AWS, GCP)
Demonstrated ability to operate at Director level or above in client engagements, influencing both technical and business stakeholders
Experience with designing and implementing RAG based applications
Strong background with Snowflake and/or Databricks for data engineering and AI pipelines
Proven success leading client-facing PoCs or MVPs from inception to delivery
Prior exposure to Healthcare or Life Sciences sector
Strong understanding of Healthcare and/or Life Sciences workflows, regulatory frameworks (HIPAA, CMS-0057-F, GDPR, ISO 13485, ISO 42001, etc.), and industry challenges.
Ability to translate fuzzy business goals into AI-enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable components
Fluency in evaluating tradeoffs between open-source LLMs and commercial APIs, and designing cost-efficient, scalable architectures
Strong communicator comfortable with both technical teams and business stakeholders
Ability to travel to client site (US, EU)
Exposure to healthcare data standards (FHIR, HL7) and integrations (eRx, Clearinghouses, TEFCA).
Knowledge of GenAI fine-tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)
Experience developing internal enablement materials or technical content
Awareness of responsible AI practices (e.g., model fairness, explainability, usage boundaries)
Location: London, UK
As a Principal AI Solutions Architect within DataArt’s Healthcare & Life Sciences practice, you will bridge the gap between advanced AI tools and real-world business impact. You’ll operate at the intersection of hands-on prototyping, cross-functional collaboration, and stakeholder education. Your focus: drive measurable client outcomes through AI-enabled efficiencies and new digital experiences.
You will shape how AI is adopted across the healthcare and life sciences industries — from intelligent copilots and personalization engines to developer acceleration and operational optimization — by prototyping real solutions, articulating business value, and driving adoption from C-suite to delivery teams.
You will work closely with client account teams (50+ active clients) and DataArt’s AI + Data Lab to identify high-value use cases, prototype rapidly, validate with stakeholders, and showcase scalable solutions that clients can adopt.
Lead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leaders
Rapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)
Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignment
Own the "show-and-tell" lifecycle: internal demo → stakeholder validation → external client presentation
Develop GenAI applications based on RAG variations, Agentic, hybrid models. Leverage Agentic SDLC and advocate for adoption. Develop with hyperscaler AI tools (Azure, GCP, AWS), LLM APIs, vector search, GenAI, Agentic SDKs and Agentic Runtimes (Agent Core, Agent Engine, etc.)
Define reusable AI building blocks and Healthcare-specific agent scaffolds that feed into the Connect AI ecosystem
Build working solutions integrated with cloud data platforms like Snowflake and Databricks
Embed AI into client-facing products or operations (e.g., personalization, crew ops, service automation)
Shape internal best practices for GenAI use in SDLC and Healthcare product lifecycle — from opportunity discovery to ops telemetry
Create AI demo assets: notebooks, dashboards, blog content, or walkthrough videos
Run workshops and working sessions with client teams and business leaders
Act as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROI
Hands-on experience with AI services from at least one major cloud provider (Azure, AWS, GCP)
Demonstrated ability to operate at Director level or above in client engagements, influencing both technical and business stakeholders
Experience with designing and implementing RAG based applications
Strong background with Snowflake and/or Databricks for data engineering and AI pipelines
Proven success leading client-facing PoCs or MVPs from inception to delivery
Prior exposure to Healthcare or Life Sciences sector
Strong understanding of Healthcare and/or Life Sciences workflows, regulatory frameworks (HIPAA, CMS-0057-F, GDPR, ISO 13485, ISO 42001, etc.), and industry challenges.
Ability to translate fuzzy business goals into AI-enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable components
Fluency in evaluating tradeoffs between open-source LLMs and commercial APIs, and designing cost-efficient, scalable architectures
Strong communicator comfortable with both technical teams and business stakeholders
Ability to travel to client site (US, EU)
Exposure to healthcare data standards (FHIR, HL7) and integrations (eRx, Clearinghouses, TEFCA).
Knowledge of GenAI fine-tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)
Experience developing internal enablement materials or technical content
Awareness of responsible AI practices
Задачи:
— Развертывание и поддержка платформы Cycode в инфраструктуре клиентов (Kubernetes/OpenShift).
— Автоматизация всего: от деплоев до операционных задач (Terraform, Python/Bash).
— Troubleshooting сложных distributed-систем (инфраструктура + K8s + код).
— Повышение отказоустойчивости и наблюдаемости платформы.
Требования:
— 5+ лет в DevOps/SRE.
— Глубокая экспертиза в Kubernetes (понимание internals, networking, scaling).
— Опыт с Terraform и AWS.
— Английский язык от B1+
Условия:
— Гибридный формат (3 дня в неделю в офисе).
— Тип контракта B2B (с поддержкой Blue Card).
— Работа с инновационной AI-Native платформой в сфере Application Security.
— Управление сложным распределенным решением, защищающим CI/CD процессы крупных компаний.
Location: Ukraine; Poland; Spain; Romania; Portugal
About Us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a Senior Engineering Manager to join us as part of our team.
About the role
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.
As a member of the Product and Engineering team at PitchBook, you will be part of a group of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
As a Senior Engineering Manager in the Technology & Engineering division, you will be responsible for managing and growing several self-organized engineering teams, driving delivery excellence, and representing development direction at a strategic level. You will collaborate closely with engineering leads, product managers, and senior stakeholders to ensure alignment, performance, and team success.
Tech Stack: Java, Python, TS/JS/React, GCP, Vertex AI, AWS, Bedrock etc
Team setup: 2-5 teams
Work Environment: flexible
As a qualified expert You will
Manage and grow multiple engineering teams and their leaders within a business unit or product area.
Cultivate technical excellence and a culture of continuous learning across teams.
Participate in and supervise discussions on key technical decisions, delivery expectations, and people allocation.
Represent the development direction at the strategic (VP) level, including plans, results, metrics, and capabilities.
Drive AI tool adoption to improve team efficiency and delivery speed.
Encourage learning through AI-assisted development and automation.
Coach teams on best practices for software delivery, estimation, stakeholder communication, and continuous improvement.
Ensure clear goals, priorities, and resource allocation while maintaining technical excellence and innovation.
Foster a culture of trust, transparency, collaboration, and constructive feedback.
Maintain high morale and motivation, especially during challenging circumstances.
Balance business, team, and individual needs through effective communication and decision-making.
Recognize team achievements and help teams learn from challenges or failures.
Manage staffing, including hiring new team members aligned with company values and culture.
Monitor and assess team performance, conduct performance reviews, and ensure fair compensation processes.
Support the adoption of DevOps practices and modern engineering methodologies.
We’re looking for you if you have
Mature understanding of the manager’s role, with a strong product- and results-oriented mindset, demonstrating strong ownership and focus on delivering outcomes.
7+ years of hands-on experience in software development, primarily with the Java stack.
3+ years of experience managing one or more engineering teams (25+ individuals) in a modern software development environment.
Strong understanding of modern software development processes, frameworks, and their practical trade-offs.
Knowledge of contemporary software engineering technologies and their applications to real-world problems.
Understanding of AI tools, prompting, and workflow automation in software engineering.
Ability to assess AI outputs and apply them to improve efficiency and quality.
Familiarity with DevOps culture and practices.
Strong interpersonal skills combining empathy, business acumen, and the ability to set expectations and provide feedback.
Open-mindedness, willingness to learn, and courage to make progress-driving decisions.
Excellent written and verbal communication skills in English.
Bonus points
Experience leading the development of complex, distributed software systems requiring deep domain or technical expertise.
Experience with Agile or other value-stream-based framework transformations.
Proven success in building high-performing software development teams from the ground up.
Experience managing teams using metrics related to motivation, performance, and time.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview steps
Interview with the recruiter
Manager screening
Tech Interview
HR Interview
Interview with Managing Director
Product Interview (Client)
Interview with VP, Technology & Engineering (Client)
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.
As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend.
Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity.
- Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction.
- Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans.
- Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do.
- Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally.
- Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly.
QUALIFICATIONS
- 4+ years of professional software engineering experience.
- Direct experience building or scaling billing, payments, subscription, or monetization systems.
- Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks.
- Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options.
- Strong backend engineering skills in Python with the ability to reason about complex distributed systems.
- Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work.
- Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions.
- Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission.
- Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- 2+ years of hands-on experience with the Stripe APIs and SDKs.
- Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units.
- Experience with Apple and Google Play in-app purchase billing.
- Familiarity with growth experimentation and PLG/self-serve SaaS monetization.
- Experience building platform constructs that support pricing experiments and A/B testing.
- Full-stack experience (our frontend is Next.js/React/TypeScript).
- Experience in a regulatory or compliance-heavy billing environment.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.
As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend.
Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity.
- Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction.
- Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans.
- Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do.
- Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally.
- Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly.
QUALIFICATIONS
- 4+ years of professional software engineering experience.
- Direct experience building or scaling billing, payments, subscription, or monetization systems.
- Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks.
- Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options.
- Strong backend engineering skills in Python with the ability to reason about complex distributed systems.
- Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work.
- Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions.
- Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission.
- Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- 2+ years of hands-on experience with the Stripe APIs and SDKs.
- Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units.
- Experience with Apple and Google Play in-app purchase billing.
- Familiarity with growth experimentation and PLG/self-serve SaaS monetization.
- Experience building platform constructs that support pricing experiments and A/B testing.
- Full-stack experience (our frontend is Next.js/React/TypeScript).
- Experience in a regulatory or compliance-heavy billing environment.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Location: United States - Remote
Workplace: remote
About the Role
The Technical Account Manager (TAM) is a deeply technical post-sales role focused on driving successful adoption of Azul Prime within a portfolio of strategic customers. Unlike a traditional TAM role, this position is hands-on and technical first. You will spend the majority of your time engaged with customer engineering teams on JVM performance tuning, troubleshooting, reliability engineering, and architectural guidance. Strong relationship skills matter, but it is technical credibility with developers, SREs, and architects that makes this role successful.
You will be trusted by Azul’s most important accounts to ensure that their mission-critical Java applications run on Prime with the best possible performance, stability, and cost efficiency. And you will serve as the bridge between customers and Azul’s engineering organization, feeding real-world insights back into the product.
What Makes This Role Different
Technical depth first. Expect to spend significant time reading thread dumps, GC logs, and flight recordings — not building slide decks.
Direct partnership with Azul engineering. You will work side-by-side with our runtime, GC, JIT compiler, and tooling teams on complex customer issues.
Ownership of technical outcomes. You own production adoption of Azul Prime within your accounts — from candidate application selection through successful rollout and ongoing optimization.
Key Responsibilities
Strategic Account Ownership
Own a portfolio of named strategic customers, with flexibility to engage additional high-value Azul Prime customers as opportunities arise.
Build and maintain deep, long-term relationships with technical stakeholders — SREs, Java developers, platform engineers, and architects.
Partner closely with Sales, Customer Success, and Support on joint account planning, renewals, and expansion opportunities.
Technical Leadership
Serve as the primary technical advisor for Azul Prime across your accounts.
Lead troubleshooting, root cause analysis, and performance tuning engagements for JVM-based applications running at enterprise scale.
Provide architectural guidance on reliability, scalability, latency, throughput, and cloud cost optimization.
Work with customers to identify and qualify candidate applications for Azul Prime, then partner with them through successful production deployment.
Product & Engineering Partnership
Collaborate with Azul’s runtime, compiler, GC, and tooling engineering teams to resolve complex technical issues.
Channel structured, actionable customer feedback into Azul’s product and engineering organizations to help shape the roadmap.
Act as a senior point of technical escalation for high-severity issues within your accounts.
Enablement & Knowledge Sharing
Design and deliver customer-facing workshops, training sessions, and technical business reviews.
Create and maintain high-quality technical documentation, runbooks, and reusable customer-facing assets for Azul Prime.
Share knowledge internally, mentoring peers across the TAM, Sales Engineering, and Support organizations.
Keep internal systems current with account activity, engagement notes, and customer outcomes.
Required Qualifications
12+ years in senior technical roles such as software engineering, SRE, performance engineering, or cloud/platform engineering.
8+ years in customer-facing technical roles (TAM, solutions architect, consulting engineer, or SRE with direct customer engagement).
Strong working knowledge of Java programming and JVM internals — garbage collection, JIT compilation, class loading, threading, and memory model.
Demonstrated experience tuning and troubleshooting enterprise-scale Java applications in production.
Demonstrated ability to perform root cause analysis and apply structured problem-solving techniques.
Strong Linux fundamentals, including shell scripting and performance troubleshooting on Linux systems.
Hands-on experience with distributed systems, public cloud platforms (AWS, GCP, and/or Azure), and containerization (Kubernetes, Docker).
Excellent written and verbal communication skills, with the ability to translate complex technical concepts for audiences ranging from individual engineers to senior executives.
Based in North America and able to travel occasionally to customer sites (typically 10–20%).
Preferred Qualifications
Deep specialization in JVM performance tuning, GC behavior analysis, and low-latency Java applications.
Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog, New Relic, Dynatrace, JFR, or similar APM tools).
Familiarity with microservices architectures and modern cloud-native Java deployment patterns.
Cloud platform certification (AWS, Azure, GCP) or SRE-related certifications.
Contributions to open-source Java projects or active participation in the broader Java technical community.
Experience using Jira and Confluence to raise bugs and maintain documentation.
Prior experience with Azul Prime, OpenJDK, HotSpot, or other commercial Java runtimes.
Why Azul
At Azul, you will work alongside a team of Java experts who genuinely love the platform, on problems that matter to some of the most demanding engineering organizations in the world. Our technology powers mission-critical Java workloads at massive scale, and our customers rely on us precisely because we go deeper on Java than anyone else. If you want your technical expertise to have outsized impact — and you want to be surrounded by people who share that passion — we would love to talk!
What we Offer
· Comprehensive compensation and healthcare packages
· Referral Program
· Work-life balance, remote-first, paid time off, company shutdown, holidays
· Work with top experts worldwide whom contribute to the Java ecosystem
Our Culture & Values
· Maniacal Customer Focus
· Innovation & Excellence
· Initiative & Courage
· Impact & Influence
· Integrity & Transparency
· Diversity, Inclusion & Teamwork
Azul participates in E-Verify.
As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.
Employment at Azul is contingent upon the completion of reference and background checks.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is $150,000 and this job is also eligible for commission/variable pay. Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, 401(k) plan, and a wide range of paid time off options.
Location: Remote (US)
Why you should join our At-Bay Security team:
Cyber insurance has become indispensable for businesses against the existential threat of cyber attacks which become more common and more devastating year after year. In response, At-Bay invented the concept of InsurSec to bridge the gap between insurance and security. Our award-winning team combines the unparalleled risk insights available to a full-stack cyber insurance carrier with full-spectrum cyber operations capabilities to bring our customers a safer and more secure working world. If you’re reading this, then you’re probably looking for a new adventure. But how about a new perspective? If impact is your goal, then join us and find out what you’re worth when a single conversation can avert a significant ransomware incident and save a small business from having their lights turned out permanently.
Role Overview:
The Cyber Advisor for the Post-Cyber Event Hardening service is essential in helping customers enhance their security posture following a cyber event. This role bridges the gap between recovery and long-term resilience by implementing and optimizing technical security controls directly within the customer's environment to minimize future risk.
Engagement-Based Responsibilities:
Assessment & Prioritization
Conduct targeted reviews of the insured’s environment to identify security control gaps
Analyze and prioritize system weaknesses across cloud and on-premise infrastructure to focus remediation on the highest-risk areas
Implementation & Hardening
Deploy security improvements, including advanced endpoint protection, email security tools, and modern network access controls
Integrate zero-trust principles and robust identity protections to ensure resilient access management
Execute technical hardening measures to eliminate common attack vectors and secure critical infrastructure components
Apply technical remediations to align the environment with At-Bay’s security standards
Strategic Resilience & Advisory
Achieve a demonstrably stronger security posture for the insured than existed prior to the cyber event
Translate technical improvements into strategic business value, helping the insured build a sustainable culture of security
Internal Responsibilities:
Security Product & Tooling Evolution
Continuously evaluate and update technical “betterment” playbooks and toolsets to stay ahead of evolving threat actor tactics
Test and vet new security solutions to ensure the service utilizes the most effective and reliable technologies available
Cross-Functional Intelligence Sharing
Provide anonymized insights from engagements to help internal teams refine risk models and security requirements
Collaborate with internal teams to align technical remediation efforts with policy standards and emerging insurance trends
Knowledge Leadership & Training
Act as a subject matter expert for the broader security and insurance teams on the "what and how" of modern infrastructure hardening
Create internal anonymized post-mortems to demonstrate the ROI of the service and highlight successful security transformations
Continuous Threat Research
Stay current on the threat landscape to ensure hardening steps remain effective against the latest attack vectors
How you’ll make an impact:
By 3 months...
Gain a deep understanding of At-Bay’s business—specifically how our insurance products, distribution, and technology stack integrate with the Post-Cyber Event Hardening service to serve our customers
Execute targeted assessments and become proficient in analyzing security toolsets to identify security control gaps and deliver tailored, high-impact risk mitigation strategies
Establish the collaborative relationships necessary to drive success across multiple teams, including Underwriting, Claims, and MDR
Establish a confident communication style with customers, guiding them through technical remediation steps and advising them on achieving a measurably stronger security posture
By 6 months...
Contribute to the refinement and scalability of the Post-Cyber Event Hardening service by updating technical "betterment" playbooks and vetting new security solutions
Serve as the technical lead for cybersecurity engagements, providing expert guidance throughout the hardening phase and delivering comprehensive, actionable reports
Successfully bridge the gap between complex technical fixes and strategic business value, helping insureds build a sustainable culture of security
Participate in strategic discussions and initiatives that leverage your field insights to shape the future of At-Bay’s cybersecurity service roadmap
What you’ve accomplished already:
Proven experience in security hardening, including security control implementation and optimization across diverse, complex environments
Deep technical knowledge in deploying and configuring Endpoint Detection and Response (EDR/MDR), Identity and Access Management (IAM), and Email Security solutions
Extensive experience implementing Multi-Factor Authentication (MFA) and Active Directory/Entra ID security improvements
Expertise in securing network architectures, including firewall remediation, VPN, ZTNA, SASE, and cloud environment hardening (Azure, AWS, or GCP)
Excellent communication skills with the ability to guide customers through technical remediation steps during high-stress, post-event periods
Proven ability to identify and categorize security control gaps, providing tailored recommendations and applying rapid, high-impact remediations
A collaborative mindset with the ability to work effectively alongside internal and external teams to achieve technical remediation
Experience collecting and analyzing data from various security tools to drive informed risk management decisions and proactive defense strategies
Proven track record of delivering insights on emerging cyber threats and translating them into proactive defensive measures
seniorCanada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
seniorNew York, New York
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