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Description

As a Lead Software Engineer, it's up to you to design, architect, and implement content discovery solutions that drive transformative technological advancements. As a Lead Software Engineer, you will. Our Kaleidoscope Engineering team is at the forefront of transformative technological innovation, d

Requirements

• DO

Description

As a Software Development Engineer III, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Write maintainable and scalable code for software components as part of an agile engineering team. As a Software Development Engineer III within the Audible Andro

Requirements

• PA

Description

<div><ul><li>The Kargo Workflow Platform powers our entire AdTech engine, and we’re modernizing it</li><li>As a Senior Engineer on the team, you’ll design and build distributed services that are reliable, observable, and built to last - owning projects end-to-end and partnering across engineering, product, and data</li><li>Design and build distributed services for the Workflow Platform modernization, thinking about failure modes, retry logic, and observability from the start</li><li>Own significant projects end-to-end - from design through deployment and post-launch optimization - with minimal hand-holding</li><li>Improve platform health through latency reductions, fault tolerance, and observability enhancements with measurable outcomes</li><li>Use AI-assisted development tools fluently to ship faster, and actively share what’s working with teammates</li><li>Raise the quality bar through code reviews and design discussions, contributing well-reasoned opinions</li><li>Partner with Product, Data, and cross-functional stakeholders, translating fluently between technical and non-technical</li><li>Mentor less experienced engineers through pairing, documentation, and patient, constructive guidance</li></ul><p>We’re looking for a self-starter who finds problems, frames them, and fixes them, and who makes the engineers around them better in the processB.S. or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience; AdTech, programmatic, or real-time systems experience a plusStrong proficiency in at least one modern, high-performance language; TypeScript and/or Golang strongly preferredComfortable with CI/CD pipelines, containerization (Docker, Kubernetes), cloud infrastructure (AWS, GCP, or Azure), and debugging production issues using monitoring and distributed tracingSolid understanding of distributed systems concepts: consistency, availability, fault tolerance, event-driven architecture, and service orchestrationActive user of AI coding tools (Cursor, Copilot, or equivalent) with real, demonstrated productivity gains5-8 years of software engineering experience, with meaningful time in distributed or high-scale backend systemsExperience building and maintaining microservices in production at meaningful scale; async messaging (Kafka, Pub/Sub) or workflow engines a strong plus</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<p>Amazon is seeking a Senior Software Engineer for the Athena Engine Front End in New York, NY. You will own features end-to-end, shaping designs, building, testing, and shipping through release pipelines, while operating what you ship in production.</p><p>You will route millions of queries daily and ensure safe, fast submission paths even as engines evolve. The role emphasizes developing reliable distributed systems, mentoring junior engineers, and driving design decisions with ownership and bias for</p><br />#J-18808-Ljbffr

Requirements

• PA
• MPH

Description

<div><p>Most AI companies are building copilots.</p> <p>Maximor is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack—ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack—and automate the work behind the entire order to cash process, record to report process, treasury management, financial reporting and and audit readiness.</p> <p>The goal isn't to help the finance team write better prompts</p> <p>.</p> <p>The goal is for finance teams to review exceptions while AI does the rest.</p> <p>What makes Maximor different is o<b>ur Unified Finance Context</b>—a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment. On top of it sit Audit-Ready AI Agents that can reason, explain their decisions, elevate uncertainty, and continuously improve.</p> <p>We've rais<b>ed $9M led by Foundation Capital</b>, alongside BoldCap, Gaia Venture<b>s, Aravind Srinivas (CEO of Perplexity)</b>, and finance leaders from Zuora, Ramp, Gusto, MongoDB, Zoom, and the Big Four.</p> <h3>What You'll Own</h3> <p>You won't own tickets—you'll own a piece of the future accounting stack.Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ships it end-to-end with a pod of 2–3 engineers. No PM writes your specs. No architecture committee approves your ideas. You work directly with controllers, accountants, and CFOs to understand the problem, then build the system that replaces the manual process.</p> <h3>Problems Worth Your Brain</h3> <ul> <li><b>How do you build AI agents that finance teams and auditors can</b> <b>trust</b>? Verification, guardrails, observability, and evaluation systems for non-deterministic AI.</li> <li><b>How do you give an agent the right financial context</b>? Context engineering over transactions, ledgers, contracts, policies, and historical decisions—without bloat, drift, or data leakage.</li> <li><b>How do you turn messy enterprise systems into a unified source of</b> <b>truth</b>? Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.</li> <li><b>How do you orchestrate durable AI workflows in the real</b> <b>world</b>? Long-running, replay-safe workflows across flaky, stateful enterprise systems</li> <li><b>How do you safely write back to systems of record</b>? Idempotent, audit-ready updates to ERPs and financial systems with full traceability.</li> </ul> <h3>A Few Strong Opinions</h3> <ul> <li><b>The engineer who can’t operate AI agents fluently is becoming obsole</b>te, fast. Fluency with Claude, Cursor, and internal agent tooling is a second cortex.</li> <li><b>“Backend vs. frontend” is dissolving</b>. The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.</li> <li><b>The pod is the unit of leverage</b>. Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them. Our engineers raise the ceiling for every pod.</li> <li><b>The accountant + engineer loop is the moat.</b> Engineers who sit with controllers and build from what they see compound faster than the ones who don’t.</li> </ul> <h3>What Great Looks Like Here</h3> <ul> <li><b>You can learn a finance workflow in the morning and ship it by the end of the day. </b>The ability to quickly understand a domain and translate it into software is the single most important skill on the team.</li> <li><b>You think like</b> <b>an owner.</b> You're a current or future founder who scopes your own work, thinks from the customer's perspective, owns decisions, and drives outcomes without waiting for direction.</li> <li><b>You solve problems end to end</b>. The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.</li> <li><b>You care about getting</b> <b>it right.</b> A 100% solution beats an 80% one. When something breaks, you go to root cause.</li> <li><b>You operate AI coding agents at a high level</b>. You have opinions about which agent to use for which task. You’ve shipped real production code through them.</li> </ul> <h3>What You Should Have Done Before</h3> <ul> <li><b>5+ years of software </b>engineering, mostly backend or infrastructure.</li> <li><b>Strong backend chops in a modern language</b> — Python, Go, Java, Rust, or similar. Our stack is Python; if your deep experience is elsewhere, ramp fast.</li> <li><b>Built hard backend systems </b>— distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.</li> <li><b>Worked at an early-stage startup</b> (pre-seed through Series B).</li> </ul> <h3>You’ll Stand Out if</h3> <ul> <li>You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.</li> <li>You've built production AI agents, not just demos.</li> <li>You've built evaluation frameworks, verification systems, or observability platforms for AI.</li> <li>You've worked with data warehouses, financial systems, or enterprise integrations.</li> <li>You've been the engineer customers asked for by name.</li> </ul> <h3>The Upside</h3> <ul> <li>Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.</li> <li>Top-of-market compensation and meaningful early-stage equity.</li> <li>Full medical, dental, and vision coverage for employees and dependents, plus</li> <li>401(k) match.Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.</li> </ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Billing

Benefits

• Dental
• Vision

Description

<div><p>Expected compensation: 175,000.00 - 200,000.00 USD Per Year</p><br /><p>HireArt is a modern staffing platform for companies to source, employ, and manage contract workers. Our goal is to bring a turnkey, full-stack software and service experience to an industry that is dominated by manual, cumbersome processes. We’re a ~75-person company with an experienced engineering team and a product that serves real customers every day. Our typical customers are fast growing tech companies, such as those building autonomous vehicles and LLMs.</p><br /><p>We’re hiring a Senior Software Engineer to join our Feature Team as we scale delivery capacity across our core platform. This role is for an experienced senior engineer; someone who can learn business context, collaborate with the product team, own a feature end-to-end, and raise the effectiveness of their team.</p><br /><h3>About The Role</h3><br /><p>You’ll work on HireArt’s core staffing application - a large, modular Rails codebase with real production constraints. Work typically arrives as loosely defined problem statements. Senior engineers help bring context to those problems, shape solutions, clarify tradeoffs, and deliver changes that are easy for the next engineer to build on. You’ll sometimes lead initiatives, sometimes follow another senior engineer’s direction, and always be expected to communicate clearly, push back thoughtfully, and keep delivery moving.</p><br /><h3>What You'll Do</h3><br /><ul><br /><li>Own large product features end-to-end, from shaping the approach through delivery</li><br /><li>Break down ambiguous problems into clear technical changes</li><br /><li>Work closely with product partners to clarify requirements and push back on scope</li><br /><li>Communicate clearly and often with teammates and manager regarding expectations for delivery</li><br /><li>Review code with an eye toward maintainability, not just correctness</li><br /><li>Write and maintain automated tests as a first-class responsibility</li><br /><li>Improve legacy areas of the codebase incrementally and pragmatically</li><br /><li>Use AI tools (Copilot, Claude, etc.) to increase throughput while remaining fully accountable for the code you ship</li><br /></ul><br /><h3>Our Tech Stack</h3><br /><ul><br /><li>Backend: Ruby on Rails 8.1</li><br /><li>Frontend: React 18.3 (with some Stimulus / Turbo)</li><br /><li>Datastores: PostgreSQL, Redis</li><br /><li>Infrastructure: Heroku</li><br /><li>CI/CD: GitHub Actions</li><br /><li>Architecture: Modular monolith, engineers work across the stack</li><br /></ul><br /><h3>What "Senior" Means at HireArt</h3><br /><h3>A Senior Engineer Here Is Trusted To</h3><br /><ul><br /><li>Own projects end-to-end</li><br /><li>Coordinate with teammates contributing to the same epic</li><br /><li>Make tradeoffs without perfect information</li><br /><li>Improve team velocity, not just personal output</li><br /></ul><br /><p>Senior engineers are not expected to operate on autopilot or wait to be told exactly what to do. Compared to a mid-level engineer, seniors proactively improve how work gets done. Compared to a staff engineer, seniors do less explicit culture reinforcement and organizational shaping.</p><br /><h3>On-call and Production Ownership</h3><br /><ul><br /><li>On-call is very limited</li><br /><li>A dedicated on-call engineer escalates to the feature team ~10% of the time</li><br /><li>Expected involvement in debugging production issues is low</li><br /><li>Expectations around testing and code quality are high</li><br /></ul><br /><h3>Requirements</h3><br /><ul><br /><li>Significant, real-world Ruby on Rails experience</li><br /><li>Experience owning large features end-to-end in a product organization</li><br /><li>Strong practice of writing and maintaining automated tests</li><br /><li>Comfortable working closely with product managers and stakeholders</li><br /><li>Proven ability to work with remote teams while staying highly communicative and proactive</li><br /><li>8–10 years of professional experience, or equivalent depth through impact</li><br /></ul><br /><h3>Nice-to-Have Experience</h3><br /><ul><br /><li>Leading work involving Stimulus / Turbo</li><br /><li>Experience in entrepreneurial or early-stage environments</li><br /><li>Strong end-to-end (E2E) testing practicesERP‑style data modeling or complex domain modeling</li><br /><li>Staffing, HR, or marketplace domain experience</li><br /></ul><br /><h3>Interview Process</h3><br /><h3>Candidates Can Expect To</h3><br /><ul><br /><li>Read and discuss a small Rails application</li><br /><li>Identify impactful improvement opportunities</li><br /><li>Walk through a past project in depth and defend (or critique) technical decisions</li><br /><li>Be evaluated on clarity, humility, and impact—not just technical correctness</li><br /></ul><br /><h3>HireArt Offers a Benefits Package That Includes</h3><br /><ul><br /><li>Equity</li><br /><li>Dental, medical, and vision for yourself and your dependents</li><br /><li>Life and disability insurance</li><br /><li>Paid Parental Leave</li><br /><li>Work‑from‑home stipends, including:<ul><br /><li>Workspace/home office set-up</li><br /><li>Company supplied Apple laptop</li><br /><li>Phone/internet stipend</li><br /></ul></li><br /><li>Uncapped PTO as well as paid office holidays</li><br /><li>401(K) through Fidelity</li><br /></ul><br /><p><b>This is a full‑time, permanent position with HireArt and is open to candidates who reside and are authorized to work in the United States and able to work during Eastern Time Zone business hours. Unfortunately, we're unable to offer sponsorships or do corp‑to‑corp. HireArt values diversity and is an Equal Opportunity Employer, which is why we are interested in every qualified candidate, regardless of their background, how they identify, or their inclusion in any protected class.</b></p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Epic

Benefits

• Dental
• Vision
• Pto

Description

<div><h3>About Maximor</h3><p>Most AI companies are building copilots.</p><p>Maximor is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack—ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack—and automate the work behind behind the entire order to cash process, record to report process, treasury management, financial reporting and and audit readiness.</p><p>The goal isn't to help the finance team write better prompts.</p><p>The goal is for finance teams to review exceptions while AI does the rest.</p><p>What makes Maximor different is our <b>Unified Finance Context</b>—a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment. On top of it sit Audit-Ready AI Agents that can reason, explain their decisions, elevate uncertainty, and continuously improve.</p><p>We've raised <b>$9M led by Foundation Capital</b>, alongside BoldCap, Gaia Ventures, <b>Aravind Srinivas (CEO of Perplexity)</b>, and finance leaders from Zuora, Ramp, Gusto, MongoDB, Zoom, and the Big Four.</p><h3>What You'll Own</h3><p>You won't own tickets—you'll own a piece of the future accounting stack.</p><p>Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ships it end-to-end with a pod of 2–3 engineers.</p><p>No PM writes your specs. No architecture committee approves your ideas. You work directly with controllers, accountants, and CFOs to understand the problem, then build the system that replaces the manual process.</p><h3>Problems Worth Your Brain</h3><ul><li><p><b>How do you build AI agents that finance teams and auditors can trust?</b> Verification, guardrails, observability, and evaluation systems for non-deterministic AI.</p></li><li><p><b>How do you give an agent the right financial context?</b> Context engineering over transactions, ledgers, contracts, policies, and historical decisions—without bloat, drift, or data leakage.</p></li><li><p><b>How do you turn messy enterprise systems into a unified source of truth?</b> Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.</p></li><li><p><b>How do you orchestrate durable AI workflows in the real world?</b> Long-running, replay-safe workflows across flaky, stateful enterprise systems.</p></li><li><p><b>How do you safely write back to systems of record?</b> Idempotent, audit-ready updates to ERPs and financial systems with full traceability.</p></li></ul><h3>A Few Strong Opinions</h3><ul><li><p><b>The engineer who can’t operate AI agents fluently is becoming obsolete, fast.</b> Fluency with Claude, Cursor, and internal agent tooling is a second cortex.</p></li><li><p><b>“Backend vs. frontend” is dissolving.</b> The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.</p></li><li><p><b>The pod is the unit of leverage.</b> Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them. Our engineers raise the ceiling for every pod.</p></li><li><p><b>The accountant + engineer loop is the moat.</b> Engineers who sit with controllers and build from what they see compound faster than the ones who don’t.</p></li></ul><h3>What Great Looks Like Here</h3><ul><li><p><b>You can learn a finance workflow in the morning and ship it by the end of the day.</b> The ability to quickly understand a domain and translate it into software is the single most important skill on the team.</p></li><li><p><b>You think like an owner.</b> You're a current or future founder who scopes your own work, thinks from the customer's perspective, owns decisions, and drives outcomes without waiting for direction.</p></li><li><p><b>You solve problems end to end. </b>The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.</p></li><li><p><b>You care about getting it right. </b>A 100% solution beats an 80% one. When something breaks, you go to root cause.</p></li><li><p><b>You operate AI coding agents at a high level.</b> You have opinions about which agent to use for which task. You’ve shipped real production code through them.</p></li></ul><h3>What You Should Have Done Before</h3><ul><li><p><b>5+ years of software engineering</b>, mostly backend or infrastructure.</p></li><li><p><b>Strong backend chops in a modern language</b> — Python, Go, Java, Rust, or similar. Our stack is Python; if your deep experience is elsewhere, ramp fast.</p></li><li><p><b>Built hard backend systems</b> — distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.</p></li><li><p><b>Worked at an early-stage startup</b> (pre-seed through Series B).</p></li></ul><h3>You’ll Stand Out if</h3><ul><li><p>You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.</p></li><li><p>You've built production AI agents, not just demos.</p></li><li><p>You've built evaluation frameworks, verification systems, or observability platforms for AI.</p></li><li><p>You've worked with data warehouses, financial systems, or enterprise integrations.</p></li><li><p>You've been the engineer customers asked for by name.</p></li></ul><h3>The Upside</h3><ul><li><p>Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.</p></li><li><p>Top-of-market compensation and meaningful early-stage equity.</p></li><li><p>Full medical, dental, and vision coverage for employees and dependents, plus 401(k) match.</p></li><li><p>Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.</p></li></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Billing

Benefits

• Dental
• Vision

Description

<div><p>Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own.</p><p>The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages. We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine.</p><h3>Position Expectations</h3><ul><li>Design, build, and deliver core components of the system in collaboration with other stakeholders</li><li>Help shape architecture, development practices, and escalation policies as the teams and the product grow</li><li>Mentor fellow engineers and assume ownership and accountability of projects</li></ul><h3>Qualifications</h3><ul><li>Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)</li><li>5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale</li><li>Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases</li><li>Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability</li><li>Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases</li><li>Strong sense of ownership, accountability, and pride</li></ul><h3>Nice to have</h3><ul><li>Hands‑on modern C++ experience in performance‑sensitive systems</li><li>Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines</li></ul><h3>About MongoDB</h3><p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p><p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p><p>Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.</p><p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!</p><p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p><p>MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.</p><p>MongoDB’s base salary range for this role in the U.S. is: $126,000—$248,000 USD</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Health insurance

Description

<div><h3><b>About Take2 AI</b></h3><p>Take2 AI automates phone screens with AI agents.<br />Take2's AI Interviewers automate the end-to-end screening process - evaluating resumes, conducting phone screens, and scheduling next round interviews with qualified candidates. Our AI Interviewers help reduce overhead costs while boosting speed-to-hire and preventing mis-hires. For candidates, this guarantees they’re never left without a response and delivers a better experience, uncovering skills that go beyond the resume.</p><p>We are a team of Stanford GSB alums, backed by SemperVirens &amp; Reach Capital. Our advisory board consists of ex CHROs of F500 companies such as Visa, HP, Disney &amp; Google.</p><p>Want a sneak peek of what we are building? Check out this video!</p><p>https://youtu.be/UorNA5uuQjU</p><h3><b>About The Role</b></h3><p>Take2 AI is hiring a hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.</p><p>Our systems already support thousands of candidate interactions each month—now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.</p><p>This role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.</p><h3><b>In Terms of Experience</b></h3><h3><b>Required:</b></h3><ul><li><p>10+ years software engineering experience (with high exposure to full stack)</p></li><li><p>Bachelor’s in Computer Science or Computer Engineering</p></li><li><p>Has held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead</p></li><li><p>2+ years at a Series D+ company</p></li><li><p>2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)</p></li><li><p>Demonstrated hands-on technical leadership—ownership of a domain, architecture decisions, delegation/mentoring</p></li><li><p>Experience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems</p></li><li><p>Capable of contributing across the stack—backend, infrastructure, and web/frontend—jumping in where needed to deliver end-to-end solutions.</p></li><li><p>Comfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker—able to deploy, troubleshoot, and optimize services in production.</p></li><li><p>Skilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres</p></li></ul><h3><b>Preferred:</b></h3><ul><li><p>Built, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products</p></li><li><p>Experience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines</p></li></ul><h3><b>What You’ll Do</b></h3><ul><li><p>Evolve and scale the backend architecture powering our AI-driven products</p></li><li><p>Lead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on</p></li><li><p>Build and deliver end-to-end AI applications in close collaboration with product and founding teams</p></li><li><p>Ensure the reliability, scalability, and observability of production systems</p></li><li><p>Strengthen and evolve our engineering standards and technical culture as a key early leader on the team</p></li></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Description

<div><h3><b>About Take2 AI</b></h3><p>Take2 builds AI Interviewers that automate the entire screening process — reviewing resumes, conducting structured phone screens, and scheduling next steps.</p><p>Today, our customers are leading healthcare organizations. Every month, we help hospitals and health systems hire faster, reduce recruiting overhead, and fill critical clinical roles more quickly.</p><p>When healthcare organizations hire faster, patient care improves. Staffing gaps shrink. Burnout decreases. The ripple effects are real.</p><p>We already power thousands of candidate conversations each month. Now we’re scaling to millions — at a time when healthcare workforce infrastructure needs transformation.</p><h3><b>About The Role</b></h3><p>Take2 AI is hiring a hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.</p><p>Our systems already support thousands of candidate interactions each month—now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.</p><p>This role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.</p><h3><b>In Terms of Experience</b></h3><h3><b>Required:</b></h3><ul><li>10+ years software engineering experience (with high exposure to full stack)</li><li>Bachelor’s in Computer Science or Computer Engineering</li><li>Has held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead</li><li>2+ years at a Series D+ company</li><li>2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)</li><li>Demonstrated hands-on technical leadership—ownership of a domain, architecture decisions, delegation/mentoring</li><li>Experience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems</li><li>Capable of contributing across the stack—backend, infrastructure, and web/frontend—jumping in where needed to deliver end-to-end solutions.</li><li>Comfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker—able to deploy, troubleshoot, and optimize services in production.</li><li>Skilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres</li></ul><h3><b>Preferred:</b></h3><ul><li>Built, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products</li><li>Experience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines</li></ul><h3><b>What You’ll Do:</b></h3><ul><li>Evolve and scale the backend architecture powering our AI-driven products</li><li>Lead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on</li><li>Build and deliver end-to-end AI applications in close collaboration with product and founding teams</li><li>Ensure the reliability, scalability, and observability of production systems</li><li>Strengthen and evolve our engineering standards and technical culture as a key early leader on the team</li></ul><h3><b>Location &amp; Flexibility:</b></h3><p>We’re NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.</p><h3><b>Compensation &amp; Growth:</b></h3><p>Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Patient care
• Clinical