Location: Remote - Global
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Role
Serve as the on-duty commander for Alpaca's most critical incidents, directing cross-functional response to restore service quickly, keeping the right people engaged and informed, and making sure every incident leaves behind something the organisation can act on.
You do not fix the outage. You make the response reliable: correct severity, the right engineers in the room, mitigation that does not stall, leaders informed in time, and follow-up work that survives the call.
Things You Get To Do
Command incidents end to end.
Take command from declaration to mitigation, keeping responders focused on stopping customer and partner impact as fast as possible. Run the bridge, keep observers out of the responders' way, and name a stall out loud when you see one.
Classify and hold the line on severity.
Set severity at declaration and re-check it as facts arrive. Risk advises on financial and regulatory materiality; the call is yours.
Engage the right people, fast.
Identify the owning team by service, symptom and blast radius, page them, and expand the responder set the moment the first team is wrong or not enough. When a page goes unanswered, escalate - and escalate the escalation. Bring in the leaders who must make business calls: feature flags, traffic shedding, failover, freeze-or-ship.
Hold the bridge, and protect the people fixing it.
Keep engineering and technical support uninterrupted - questions from stakeholders, partners and executives come to you. Be the single source of truth to the partner communications team on impact, severity and timing: you decide when a status page update or partner contact is needed, they write and send it, and chasing a late or stale update is yours.
Run follow-the-sun handoffs.
Deliver warm, high-fidelity handoffs across regions: current impact and severity, mitigation path and next actions, who is in the room, outstanding decisions, and what must not be dropped. The incoming commander confirms ownership before you step away - command never goes dark at a region boundary.
Close the loop, on the clock.
Maintain the timeline of facts as the incident runs rather than reconstructing it afterwards - in a regulated business that record has to hold up long after the call ends. Once mitigated, make sure a blameless retrospective is scheduled with a named owner and a timebox, and record where the cause sits - that choice sets which follow-up items are mandatory. Every action item needs a real ticket, one named accountable, a priority and a category, delivered inside the agreed service level. If a postmortem produces nothing but low-priority items, treat that as a signal the analysis stopped early and escalate to SRE rather than passing it on.
Automate the coordination away.
Coordination is the part of this job that should eventually belong to a machine. Every manual prompt you send - the update that is due, the question nobody answered, the partner nobody contacted - is a candidate for automation, and the direction we are heading is AI handling the routine so commanders can spend their attention on judgement. You get us there by working to the decision trees, saying where they are wrong, and being honest about which of your instincts are actually rules.
Who You Are (Must-Haves)
4+ years commanding or co-commanding high-severity incidents in a production engineering, SRE or technical operations environment.
You direct technical responders under pressure without being the person writing the fix.
You make and defend crisp severity and escalation decisions, and you take charge without waiting to be asked. Command means waking senior people at 03:00, interrupting an executive, and telling an experienced engineer to stop what they are doing - with an audience watching. It is a visible, directive role and it needs to be instinctive.
You can read a dashboard and judge for yourself whether impact has actually stopped.
You communicate clearly with engineers, executives and partner-facing stakeholders - and you know the difference between briefing the comms function and speaking for the company.
You are comfortable holding other teams to account in the moment, across a reporting line that is not yours, without turning it into friction.
You thrive in a follow-the-sun model with clean cross-region handoffs.
You understand FinTech concepts and the trust stakes of API-driven financial platforms.
You use AI tools and agentic automation to reduce manual toil and speed up response.
You will work a regional coverage window as part of a global 24x7 Incident Commander roster.
Who You Might Be (Nice-to-Haves)
Formal incident command training - ITIL, Major Incident Management or crisis management.
Experience with modern incident management and on-call platforms.
You have written severity rubrics, decision trees, escalation matrices, runbooks or incident playbooks.
You have commanded in game days, tabletop exercises or incident simulations, not only in production.
You have partnered with problem management or reliability programme functions to roadmap incident follow-ups.
Online securities trading or capital markets experience, or another regulated, market-hours-sensitive domain.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
УдалённоYou have commanded in game days, tabletop exercises or incident simulations, not only in production
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and our IT systems. The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. We are looking for security scientists with a strong grasp of security and anti-abuse fundamentals. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions
Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making
Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections
Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond
Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy
Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services
Advocate for security and secure practices throughout Figma
We'd love to hear from you if you have:
Strong understanding of real-world security, anti-abuse, and detection and response challenges
Fluency in SQL, with proficiency in Python, R, or a similar scripting language
Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark
Strong knowledge of statistical methods and experimental design
Excellent judgment and creative problem-solving skills
While it's not required, it's an added plus if you also have:
A self-starting mindset along with strong communication and collaboration skills
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$140,000
—
$348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
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 seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth.
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:
Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data
Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability
Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth
Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces
Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations
Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals
Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor
The ideal candidate has:
5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc.
Experience with stream processing systems such as Kafka and RedPanda
Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda
Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
Preference for managing healthcare data standards (e.g. HIPAA, EDI)
A desire to be a part of our mission to improve the U.S. healthcare system
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
Technologies we use:
Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
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.
Compensation Transparency:
The target salary range for this position is $310,000 - $385,000. 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: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
About the team & role
The
Data Platform
team builds and operates the shared infrastructure that powers how data is stored, moved, and consumed across Alpaca. Our platform supports financial transactions, customer data, API and system events, enriched datasets, and third-party sources that power critical decisions and products for internal teams and external stakeholders. We process hundreds of millions of events each day and that scale continues to grow as Alpaca serves more customers and launches new products.
As a
Senior Data Platform Engineer
, you'll design, build, and operate reliable systems across Alpaca's data platform, from distributed query engines and lakehouse storage to streaming infrastructure, governance, and data serving. You'll also work closely with our AI and Data Science teams to enable agentic workflows and machine learning capabilities. As part of a small team, you'll contribute across multiple initiatives, own projects from design through production, and help shape the future of our platform.
Our team is 100% distributed and remote.
What you’ll do
Design, build, and operate core data platform infrastructure, including distributed query engines, lakehouse storage, orchestration, and streaming pipelines.
Contribute to regional platform deployments, building scalable and repeatable infrastructure using Kubernetes and infrastructure-as-code.
Develop real-time data processing, analytics, and alerting capabilities for operational and product use cases.
Partner with AI and Data Science teams on the platform foundations for agentic workflows, evaluations, and ML lifecycle tooling.
Evolve our data catalog, governance, and access controls so data is discoverable and properly governed.
Own platform reliability through observability, on-call participation, and operational improvements while collaborating with cross-functional teams.
Must-haves
5+ years of experience in data infrastructure, platform engineering, or software engineering, with demonstrated end-to-end ownership of production systems.
Strong Python and SQL skills, with experience building reliable pipelines, services, or platform tooling.
Experience building or operating distributed data systems, such as query engines, lakehouses, or streaming platforms.
Experience operating cloud infrastructure using Kubernetes, infrastructure-as-code, and deployment automation.
Sound operational judgment, clear technical communication, and the ability to collaborate across engineering teams.
Nice to Haves:
Experience with distributed query engines such as Trino, Presto, or Spark, and open table formats such as Apache Iceberg.
Experience with streaming and real-time data infrastructure such as Kafka, Redpanda, Flink, or Debezium.
Experience with AI and agent infrastructure, including MCP servers, retrieval systems, agent observability, or LLM evaluation.
Experience supporting ML infrastructure using technologies such as MLflow, Vertex AI, or similar platforms.
Experience with real-time analytics engines such as ClickHouse, Pinot, or Druid.
Experience designing and operating infrastructure across multiple cloud regions, including workload isolation and cost-performance trade-offs.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: New York
Workplace: Remote
ABOUT THE ROLE
We're hiring a Staff Product Designer to set the visual and experiential direction of a global brand, and to build the products that carry it.
This is not a role that inherits a finished system and maintains it. Our design system is young, our brand is ready to evolve, and we have entire product categories still to launch. You'll have unusual latitude to decide what Taptap Send looks and feels like across more than 70 markets, and unusual proximity to the decisions that change the company’s trajectory.
Concretely, you'll own:
- Brand and visual evolution. Push our identity somewhere distinct and memorable without losing sight of the fact that people come to us to complete an important financial task and should leave feeling rewarded for it. Visual distinctiveness in service of trust, not in tension with it.
- The design system. Expand it from a component library into real infrastructure: tokens, motion, content patterns, and the documentation that lets a small team ship consistently across mobile, web, and internal tools.
- New product offerings. New surfaces and new lines of business, taken from a rough hypothesis to a shipped product with measurable impact on customers and on the business.
- The craft bar. You hold the standard for what great looks like here, and you're the person who helps make the call on when something is genuinely done.
You'll work across product, engineering, growth, compliance, and go-to-market, in a company that moves fast and expects extreme ownership.
YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…
- Define the design direction for a brand used across four continents, and see your decisions reach customers within weeks rather than quarters
- Take ambiguous, high-stakes problems — new markets, new products, unfamiliar regulatory terrain — and turn them into shipped work, not decks
- Use AI tooling to compress the distance between idea and reality: prototype in hours, run more experiments than a team our size should be able to, and hand engineers front-end work that already sits close to spec
- Build the system, the brand, and the products on top of them, rather than choosing one lane
- Set the craft standard for a growing design team and raise the bar for everyone around you through the work itself
WE’RE EXCITED ABOUT YOU BECAUSE…
- Your portfolio shows range and depth. Consumer mobile products you took from ambiguity to launch, plus evidence of systems thinking — not just screens, but the structure underneath them.
- Craft fundamentals are table stakes for you. Visual hierarchy, typography, content strategy, micro-animation, information architecture. We're not going to teach these; we're going to learn them from you.
- You reach for AI tools as naturally as design tools. LLM-assisted prototyping, code editors, component generation, workflow automation — and you have a point of view on where they genuinely increase velocity versus where they produce plausible-looking work that fails in the details.
- You sweat the details and know which ones to trade away. Pixel-perfect where it matters, pragmatic where it doesn't, and clear about the difference.
- You care deeply about our customers. You've either lived something close to their experience — sending money home, navigating financial systems that weren't built for you — or you're the kind of designer who does the work to understand it, and puts the use case at the center of every system you build.
- You're comfortable being the most senior designer in the room. You influence roadmaps through evidence, prototypes, and shipped artifacts rather than authority.
- Fintech, marketplaces, or other high-trust consumer categories are a plus.
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.
Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.
We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.
Here’s a little more:
- Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
- Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
- Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
- Truly global team - 250+ people, 50+ nationalities, 50+ languages
- Guided by our values - ownership, impact, humility, and heart - in deed, not just word
TAPTAP VALUES https://www.taptapsend.com/our-values
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments.
This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.
To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes
orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture.
EXAMPLE INITIATIVES
- The B200 Frontier: Architecting the infrastructure readiness and deployment strategy
for Baseten's first Blackwell GPU clusters.
Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems
to move customer workloads seamlessly across regions to optimize cost and latency.
- Precision GPU Triage: Developing automated Go-based operators to identify, cordon,
and repair unhealthy H100 nodes in under an hour.
- The Supply Chain of Intelligence: Partnering with leadership to secure and reserve
dedicated capacity for Baseten’s largest enterprise customers.
RESPONSIBILITIES
- Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200),
managing the full lifecycle of acquisition, air traffic control, and maintenance for those
assets.
- Advanced Orchestration: Execute complex workload migrations and "sticky"
deployment drains, ensuring deployment scheduling rules meet strict regional and
compliance requirements.
- Build for Scalability: Design and implement the "next version" of Baseten’s capacity
management system to handle a 10x increase in GPU volume.
Financial Modeling: Leverage your understanding of unit economics to build ROI
models for GPU spend, ensuring Baseten scales profitably.
- Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete
operational tasks off their plate and verify "last mile" follow-through on infrastructure
changes.
- Incident Response: Lead capacity-crunch response by rapidly untainting and re-
coordinating workloads during high-pressure outages.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics,
or a related field
- 5+ years of professional work experience in a high-growth environment, preferably at a
hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
- Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node
draining, and custom operators
- Demonstrated experience with Go or Python in a production-level environment
Strong financial literacy and the ability to model complex trade-offs between capacity
reliability and cost
- High tenacity and collaborative mindset
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
The Senior Network Engineer leads Wizards of the Coast's enterprise network — datacenters, corporate offices, studios, and AWS cloud. Our stack runs on a Juniper/Mist campus fabric, a Palo Alto Networks security edge, and cloud-native AWS connectivity. You'll set technical direction, drive complex initiatives end to end, and mentor the broader team. Your work keeps the network that connects our datacenters, offices, studios, and cloud environments secure, reliable, and ready to support the teams creating our games.
Location and Work Arrangement
This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Own the architecture, build, and roadmap for our Juniper/Mist campus and branch infrastructure, and lead its evolution across sites and business units.
Lead the Palo Alto Networks security stack, from policy architecture to secure-by-design standards across teams.
Own end-to-end AWS cloud network implementation — Virtual Private Cloud (VPC), Transit Gateway, Direct Connect/VPN, Route 53 — and hybrid connectivity, including Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), and Software-Defined Wide Area Network (SD-WAN) traffic engineering at scale.
Drive automation and AI adoption across network operations, from config deployment to AI-powered monitoring, observability, and root-cause analysis.
Be the go-to for critical issues, and mentor less-experienced engineers through code review, troubleshooting, and skill-building.
What You'll Bring
At least 10 years of experience in enterprise network engineering — routing, switching, wireless — or equivalent demonstrated experience, with deep expertise in Juniper (EX/QFX/SRX, Mist) and/or Cisco (Catalyst, Nexus), plus hands-on work with intelligent ops tools like Mist/Marvis at scale.
Expert-level Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), Software-Defined Wide Area Network (SD-WAN), and load balancing experience, including designing and building these solutions from the ground up.
Extensive Palo Alto Networks firewall experience, including policy architecture and Panorama at enterprise scale.
Proven AWS production experience — Virtual Private Cloud (VPC), Transit Gateway, Direct Connect/VPN, Route 53, security groups, CloudWatch, DNS, Dynamic Host Configuration Protocol (DHCP), IP Address Management (IPAM) — with the judgment to make platform decisions independently.
Hands-on use of AI tools like Mist/Marvis and coding assistants (Claude, Copilot) to power automation and network ops, plus a track record of leading cross-functional work and mentoring engineers.
What Sets You Apart
Active advanced certifications: Cisco Certified Internetwork Expert (CCIE), Juniper Networks Certified Internet Expert (JNCIE), AWS Advanced Networking Specialty, or AWS Solutions Architect Professional.
Prisma Access / Secure Access Service Edge (SASE) deployment leadership, or Palo Alto Cloud Identity Engine (CIE) build ownership.
Terraform or Ansible pipelines you've built and owned in production — not just maintained.
Experience in a multi-studio, multi-business-unit (BU) entertainment or gaming environment, or another complex, highly distributed org.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$119,600
—
$179,500 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Bangalore - Engineering
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
About the Role
We are seeking a highly skilled Principal Software Engineer to lead the design and development of the Data Fabric platform—a next-generation distributed data infrastructure that enables seamless data integration, processing, governance and security at scale. As a key technical leader, you will architect robust, scalable, and high-performance systems while mentoring engineering teams to deliver cutting-edge data solutions.
WHAT YOU'LL DO AT UIPATH
- Architect, Design and Build: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security.
- Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying.
- Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure.
- Cross-functional Collaboration: Work closely with teams across other locations to innovate and develop best-in-class solutions.
- Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for data workloads.
- Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables.
- Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc.
- Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform.
- Leverage AI tools/Coding agents responsibly to accelerate development (e.g., code generation, testing, debugging, documentation), while maintaining a high engineering quality bar.
WHAT YOU'LL BRING TO THE TEAM
- Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience).
- 12+ years of software engineering experience, with 5+ years in distributed data systems
- Proficiency in one or more system level programming languages (C#, Java etc.) and a willingness to learn new ones
- Strong understanding of object-oriented programming, architectural design patterns, system design and data structures & algorithms.
- Good grasp of multithreading, synchronization, asynchronous, cloud programming.
- Experience working with Cloud ecosystems such as Azure, AWS, GCP.
- Familiar with modern engineering practices, including agile development, CI/CD and DevOps.
- Experience with Docker, Kubernetes or other containerization technologies.
- Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development.
- Proven track record of effectively collaborating with globally distributed teams.
- Ability to understand, communicate, provide feedback on, and drive complex technical decisions.
Nice to have
- Full-stack development experience
- Understanding of LLMs and the AI powered API automation.
- Experience with GraphQL, data mesh architectures.
- Familiarity with observability tools (Prometheus, Grafana)
#LI-VR1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Задачи:
— Разработка и оптимизация высокопроизводительных backend-систем для data-driven приложений.
— Работа с современными технологиями потоковой обработки, распределёнными фреймворками и облачными архитектурами для создания масштабируемых, надёжных и высокодоступных решений.
Требования:
— Проживание вне России и Беларуси.
— Наличие диплома бакалавра (требуется фото диплома при подаче заявки).
— Опыт разработки на Java и создания API и сервисов.
— Опыт работы со Scala не менее 2 лет.
— Опыт работы с Akka не менее 2 лет, особенно для потоковой обработки данных или распределённых систем.
— Опыт работы с потоковыми/данными фреймворками, такими как Spark Streaming, Flink, Kafka, Kinesis или аналогичными.
— Умение создавать и использовать RESTful API.
— Опыт работы с AWS (serverless, compute, storage, data services) и знакомство с DevOps практиками (используется Azure DevOps).
— Владение английским языком на уровне B2+ (устный и письменный).
Условия:
— Удалённая работа.
— Контракт B2B.
— Минимальный срок контракта 9 месяцев.
— Полный рабочий день, 8 часов в день.
— Ежедневное пересечение рабочего времени 4 часа с 8:00 до 12:00 по Чикаго.
— Отпуск без оплаты.
— Зарплата 5400-6600 USD до вычета налогов в месяц.
Задачи:
- Разработка и развитие микросервисов и data-процессов для online/streaming и batch обработки
- Построение пайплайнов обработки, обогащения и репликации данных
- Создание витрин, агрегатов и ML-фичей для антифрод-моделей
- Работа с большими объёмами исторических данных и тяжёлыми расчётами
- Оптимизация производительности и надёжности сервисов и пайплайнов
Требования:
- Коммерческий опыт разработки на Python
- Опыт создания backend-сервисов и data-пайплайнов, понимание микросервисной архитектуры
- Опыт работы с большими объёмами данных, понимание batch и streaming обработки
- Опыт работы с реляционными и in-memory базами данных
- Понимание принципов работы ML-пайплайнов
- Будет плюсом: опыт в Anti-Fraud / Risk / Scoring, low-latency системах; Spark, Kafka, Tarantool или Ignite
Условия:
- Формат работы: удалённо
- Пятница — сокращённый рабочий день
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a Software Engineer, Research Technology, you will contribute to and grow into a small team building the software platform that powers researchers running compute-heavy analyses on very large event-stream datasets. The workload is analogous to a game engine’s replay and simulation loop, a telco’s real-time packet pipeline, or a bigtech streaming and analytics platform, applied to financial market data. Domain expertise in trading and market microstructure is welcome but not required on day one; we invest heavily in onboarding and pair every new engineer with a mentor.
The stack: modern C++ for the throughput-critical ingest and simulation core, Python plus C++ bindings for research tooling, distributed compute across HPC (Slurm today, evolving). You will help deliver high-quality data, fast and flexible compute tooling, robust simulation and deployment systems, and ergonomics that let researchers iterate quickly. Work spans raw exchange data ingestion, distributed HPC orchestration, and research tooling.
Key responsibilities
Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams.
Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale.
Orchestrate and improve reliability of data and compute pipelines on HPC clusters.
Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations).
Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms.
Support training and deployment of quantitative models used in trading.
Monitor, manage, and troubleshoot distributed platforms.
Optimize codebases for performance, reliability, and resource efficiency across the full stack.
Required qualifications
2+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected.
Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.
Data engineering fluency: designing schemas, choosing storage formats, understanding compression and I/O trade-offs, and operating pipelines that write and read hundreds of TB. Comfortable reasoning about columnar formats (Parquet / Arrow) or their equivalents in your domain (event logs, telemetry, replays).
Experience designing and operating services or platforms used by other technical users in data-intensive environments.
Comfortable supporting internal users and iterating on ergonomics and workflows.
Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality.
Excellent written and verbal communication; collaborative mindset and empathy
Desirable / nice-to-have
Rust experience alongside C++ and Python.
Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.
GPU programming experience.
Familiarity with ML/Deep Learning frameworks.
Prior finance or market-data experience, including low-level market connectivity.
Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure) - any exposure.
Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks) - any exposure.
Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer) - any exposure, including internship or open-source work.
What we evaluate in the interview loop
We evaluate CS fundamentals, ability to reason about correctness and performance under real constraints, code quality, communication, and clear signs of growth (asks good questions, learns fast, takes feedback well). Depth of prior industry experience is not the bar; trajectory is. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-PR1
Location: San Francisco
Workplace: Hybrid
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 Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
WHAT YOU’LL DO
- Lead the design and implementation of Harvey's Model Infrastructure platform.
- Build systems to ensure high availability, low latency, and operational excellence for AI inference.
- Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost.
- Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
- Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.
- Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
- Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.
- Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
- Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.
- Lead cross-functional technical initiatives and mentor engineers across the organization.
WHAT YOU’LL BUILD
- Model Reliability & Operations
- Model health monitoring
- Automated failover and recovery
- Capacity provisioning
- Operational tooling and incident automation
- Unified Model Controller (UMC)
- Policy-based model routing
- Intelligent Model Selector
- Model health monitoring
- Traffic management
- Reliability and latency optimization
- Provider Platform
- Multi-provider architecture
- API and SDK integrations
- OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers
- Rapid adoption of new frontier models
- Observability & Cost Platform
- Token usage analytics
- Cost attribution
- Latency and reliability dashboards
- Capacity forecasting
- Utilization optimization
- AI Platform Foundation
- Infrastructure supporting model evaluation
- Model deployment and operations
- Future model training platform
- Agent infrastructure and CcaaS
WHAT YOU HAVE
- 10+ years of software engineering experience building large-scale distributed systems.
- Experience designing and operating highly available production services.
- Strong programming skills in Go, Java, Python, Rust, or C++.
- Deep understanding of distributed systems, cloud infrastructure, networking, and observability.
- Experience leading technical projects across multiple engineering teams.
- Ability to balance long-term architecture with pragmatic execution.
- Strong communication and collaboration skills.
- Passion for building foundational platforms that enable other engineering teams.
NICE TO HAVE
- Experience with AI infrastructure, LLM serving, or machine learning platforms.
- Experience with model routing, inference gateways, or policy-based serving systems.
- Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.
- Experience with Kubernetes, cloud infrastructure, and service mesh technologies.
- Experience with large-scale observability and SRE best practices.
- Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
- Familiarity with GPU infrastructure or model training platforms.
COMPENSATION
$236,000 - $340,000 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-AK1
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 seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
Expertise in SQL, job experience, and demonstrated strength with Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
Familiarity with healthcare or insurance
Familiarity with data security and HIPAA compliance
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 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:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $220,000.00 - $245,000.00. 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) with company match, flexible spending accounts, 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 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 seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
Expertise in SQL and Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
Familiarity with healthcare or insurance
Familiarity with data security and HIPPA compliance
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
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
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:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $
166,000 - $205,000
. 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) with company match, flexible spending accounts, 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
.
San Francisco, CA • New York, NY • United States
New York City, New York
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Singapore; Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply
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