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Description

Mechanical Engineer Required Skills mechanical engineering technical document analysis problem-solving written and verbal communication data analysis attention to detail self-management interdisciplinary collaboration technical content creation data quality assurance About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Mechanical Engineer Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems • Work independently, managing your time to deliver high-quality outputs with minimal supervision • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia) • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents • Exceptional English communication skills, both written and verbal • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets • Ability to work independently and efficiently, with excellent self-management • High attention to detail and commitment to data accuracy • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology • Previous experience contributing to interdisciplinary or research-driven projects • Familiarity with data-driven analysis or training data preparation

Requirements

• RN
• DO
• NP
• PA

Benefits

• Vision
• Training

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>Are you passionate about building large-scale backend systems that power mission-critical reporting and data‑intensive workflows? Do you enjoy solving deep technical challenges around distributed systems, performance, scalability, and reliability? Are you excited by the opportunity to shape the architecture of a next‑generation reporting and query platform used across a complex financial ecosystem? If so, we invite you to join Ridgeline’s Reporting team.</p><br /><p>The Ridgeline Reporting Engine team builds and operates the core infrastructure behind reporting, query execution, and data retrieval across the platform. Our systems power both customer‑facing reporting experiences and internal analytics. Your work will transform complex financial data into reliable, high‑performance reporting systems that enable faster, more informed decision‑making for investment managers. We are evolving the next generation of our distributed reporting and query engine, focused on correctness, performance, scalability, and operational excellence.</p><br /><p>We embrace tools such as Claude Code, Cursor AI, and ChatGPT to accelerate development and reduce friction, allowing engineers to focus on high‑leverage problem solving, system design, and innovation. We’re looking for engineers who enjoy diving deep technically, influencing architecture, mentoring others, and building production‑grade platforms that scale with the business.</p><br /><p>At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions — not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high‑performing culture. If this excites you, we’d love to meet you.</p><br /><p>You must be authorized to work in the United States without the need for employer sponsorship.</p><br /><h3>Impact You Will Make</h3><br /><ul><br /><li>Design and build scalable backend services that power reporting, query execution, and data‑intensive product workflows.</li><br /><li>Drive architectural decisions across distributed systems, APIs, execution frameworks, and storage/query layers.</li><br /><li>Lead technical initiatives focused on platform scalability, performance optimization, reliability, and operational excellence.</li><br /><li>Build and evolve systems that handle compute‑ and IO‑intensive workloads with strong correctness and auditability requirements.</li><br /><li>Partner closely with product managers, designers, and engineers to deliver performant and reliable customer‑facing capabilities.</li><br /><li>Improve observability, resiliency, debugging workflows, and operational tooling across production systems.</li><br /><li>Help shape the evolution of our next‑generation distributed reporting and query platform.</li><br /><li>Contribute to engineering best practices around software design, testing, maintainability, and production readiness.</li><br /><li>Lead design reviews, mentor engineers, and raise the technical bar across the organization.</li><br /><li>Dive deep into ambiguous technical problems while maintaining a strategic long‑term perspective.</li><br /></ul><br /><h3>What We Look For</h3><br /><ul><br /><li>6+ years of software engineering experience building large‑scale backend or distributed systems.</li><br /><li>Strong programming experience in Kotlin, Java, Python, or similar backend languages.</li><br /><li>Deep understanding of software engineering fundamentals, including system design, APIs, concurrency, networking, and performance optimization.</li><br /><li>Experience designing and operating scalable cloud‑native services (AWS preferred).</li><br /><li>Experience building high‑throughput, low‑latency distributed systems with strong reliability requirements.</li><br /><li>Experience designing application data models and building services on top of relational and distributed storage systems.</li><br /><li>Familiarity with asynchronous processing, event‑driven systems, and distributed architectures.</li><br /><li>Ability to influence architecture and drive technical decisions across teams.</li><br /><li>Excellent communication, collaboration, and mentoring skills.</li><br /><li>Curiosity, ownership, and a desire to continuously learn and improve.</li><br /></ul><br /><h3>Nice To Have</h3><br /><ul><br /><li>Experience building reporting, query execution, or analytics infrastructure platforms.</li><br /><li>Familiarity with distributed query engines or compute frameworks such as Trino, Spark, or similar technologies.</li><br /><li>Experience working on systems with strict correctness, auditability, and reliability requirements.</li><br /><li>Experience in fintech, investment management, or financial data systems.</li><br /><li>Familiarity with React or modern frontend technologies.</li><br /><li>Experience using AI‑assisted engineering workflows and developer tooling.</li><br /></ul><br /><h3>Compensation and Benefits</h3><br /><p>The typical starting salary range for new hires in this role is $153,000–$191,000. In select locations, including the San Francisco Bay Area, CA, and the New York City Metro Area, an alternate range of $168,000–$210,000 may apply. Final compensation is determined by multiple factors, including candidate experience and expertise. In addition to the base salary, employees may participate in our Company Stock Plan and enjoy rich benefits such as unlimited vacation, educational and wellness reimbursements, and zero‑cost employee insurance plans. Please refer to our Careers page for a comprehensive overview of perks and benefits.</p><br /><p>Ridgeline is a discrimination‑free equal opportunity workplace. We process the information you submit in accordance with the Ridgeline Applicant Privacy Statement. Please review our privacy practices and contact us with any questions.</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Vacation
• Wellness

Description

<p>Google XR is seeking a Senior Software Engineer to design and evolve 3D interactions and the UI for Android XR, bridging Kotlin/Java with a high‑performance C++ engine. You will shape scalable systems for animations and audiovisual behaviors across the XR stack.</p><p>You will partner with UX designers, product managers, and other engineers to deliver a cohesive, performant mobile XR experience and help drive through iterative tools and best practices for faster development cycles.</p><br />#J-18808-Ljbffr

Requirements

• PA

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

Description

<div><h3>We're hiring an Android engineer to scale our Android app alongside the founding Android engineer who built it from scratch and shipped it to Google Play. Since launch, it's grown to 60,000 installs, 8,500 DAU, a 4.8 rating, and localization across Brazil, Latin America, and Italy. One engineer did all of it. It's time for the next.</h3><br /><h3>You'll work alongside the iOS engineers and designers to keep parity where it matters and diverge where it makes the app better. real-time co-editing, offline playback, background uploads, subscription infrastructure, the foundations are in place. now we make it deeper.</h3><br /><h3>What you'll do</h3><br /><h3>Ship features across the Android app end to end</h3><br /><h3>Design and ship alongside engineers, designers, and the founders</h3><br /><h3>Partner closely with our iOS engineers to keep parity where it matters and diverge where it makes the app better</h3><br /><h3>Own performance, responsiveness, and quality across devices</h3><br /><h3>Find bottlenecks and fix bugs</h3><br /><h3>Contribute to architecture, test coverage, and engineering process for Android</h3><br /><h3>What we're looking for</h3><br /><p>7+ years of Android engineering</p><br /><p>Deep expertise in Kotlin and the Android framework</p><br /><p>Experience integrating Android apps with backend services</p><br /><p>Strong grasp of architecture, design patterns, and the mobile lifecycle</p><br /><p>A complex client-side system you personally architected and shipped. you can explain every decision, what you chose not to do, and what broke</p><br /><p>Shipped real work at startups or small teams</p><br /><p>Side projects or apps you've put into the world. things you built because you wanted them to exist</p><br /><p>Exploratory communication. you think out loud, name tradeoffs, stay low-ego when corrected</p><br /><p>Comfort with ambiguity and high autonomy</p><br /><p>Passion for craft. you treat UI like art</p><br /><h3>Cloud messaging APIs and push notifications</h3><br /><h3>Strong opinions on UI/UX and Material Design</h3><br /><h3>Performance and memory optimization</h3><br /><h3>Outsized love for music and creative tools</h3><br /><h3>Comfort designing async server systems (you'll be asked to in the systems interview)</h3><br /><p>Flexible days in office</p><br /><p>Free lunch in the office</p><br /><p>Competitive salary and equity</p><br /><p>Health, dental, and vision insurance</p><br /><p>Opportunities for professional growth and development</p><br /><p>A collaborative environment that values craft and creativity</p><br /><h3>Compensation</h3><br /><p>Competitive equity package</p><br /><p>Medical, dental, and vision benefits</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Dental
• Vision

Description

<p>Scale AI, Inc. in the United States is hiring a software engineer to design, build, and maintain robust, scalable systems across the full stack. You will work on the GenAI data engine, with front‑end, back‑end, and infrastructure work using modern technologies.</p><p>You’ll collaborate with ML teams and operators to ship fast, high‑impact solutions and help scale the contribution platform to meet growing data demands. The role emphasizes reliability, performance, and data quality.</p><br />#J-18808-Ljbffr

Requirements

• RN
• PA
• MPH

Description

<div><h3>Company Overview</h3><br /><p>Kale’s mission is to empower people to translate their social value into economic value. With our focus on everyday creators and a content-first discovery experience, Kale is redefining social commerce. Our goal is to flip influencer marketing on its head to put power back in the hands of true customers, making brand/creator relationships genuine and trustworthy.</p><br /><h3>Job Description</h3><br /><p>As a Full Stack Engineer at Kale, you will work closely with product managers, and software engineers to develop and deploy new features and enhancements to our website, mobile app and backend platform to elevate the user experience and drive business value. You will likely lean into one area or specialty, either on the frontend or backend, but you will be excited to learn and deepen your skill set in other areas. Day to day, you will collaborate and pair with your engineering teammates helping to architect and implement solutions that add value to Kale’s brands, creators and the dynamics of the marketplace.</p><br /><h3>Expectations in this role</h3><br /><ul><br /><li>You are a contributor who promotes software best practices and team health. You create a positive impact through your work.</li><br /><li>As your work inspires your team to work with you, you are able to occasionally mentor them and connect people.</li><br /><li>You drive solutions to simplify complexity and develop the approach to tackle a problem. You have a background in overseeing complex systems with subsystems, internal initiatives.</li><br /><li>You are a practitioner that understands the broader context of the system you impact, going on at least one area of the product.</li><br /></ul><br /><h3>Tech stack</h3><br /><ul><br /><li>Several React.js and Spring applications deployed statically in Google App Engine</li><br /><li>Our design system and mockups specified in Figma</li><br /><li>Our API is built on Kotlin Spring using GraphQL</li><br /><li>The Kotlin API is backed by a Postgres database, and integrations with third party data sources.</li><br /><li>Automated continuous integration and deployment pipelines for the frontend and backend that spin up review applications after they have run the test and build suite.</li><br /></ul><br /><h3>Qualifications</h3><br /><ul><br /><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field</li><br /><li>3+ years of experience as a software engineer or related role</li><br /><li>Strong programming skills in Kotlin/Java, Javascript, React, GraphQL,</li><br /><li>Familiarity with cloud platforms such as AWS or GCP</li><br /><li>Strong problem-solving skills and ability to work independently and in a team</li><br /></ul><br /><h3>Nice to haves</h3><br /><ul><br /><li>Professional experience at a software startup.</li><br /><li>Experience as a technical mentor.</li><br /><li>Experience designing and building APIs.</li><br /></ul><br /><p>If you're passionate about applying software engineering to real-world business problems and want to make an impact at a fast-growing startup, we encourage you to apply for this exciting opportunity at Kale!</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• PA

Description

<div><p>Job Title Senior Software Engineer 1, Picksy Services Job Description</p><p>Picksy is our next-generation product discovery platform connecting shoppers with the things they love across thousands of retail partners. Users save, organize, and share products they're excited about - and our platform turns those signals into a deeply personalized shopping experience. This team owns the foundational product data, services, applications, and integrations that power the Picksy experience.</p><p>Hybrid 3x per week</p><p>In-office Expectations: This position is hybrid in-office, with the ability to work remotely for up to 2 days per week.</p><h3>About The Position | Major goals and objectives and location requirements</h3><p>As a Senior Software Engineer on Picksy Services, you'll take ownership of solution design and implementation for scalable, highly available services, while mentoring other engineers and helping shape the team's technical direction. You'll work closely with product owners, designers, and fellow engineers to translate requirements into prototypes and world-class features, and you'll be a go-to voice on architecture decisions and best practices across the team.</p><h3>You will:</h3><ul><li>Partner with engineers across data, web, and mobile experiences to build and evolve the foundational services powering Picksy.</li><li>Design and implement new services, APIs, and operational monitoring functions.</li><li>Own production services end-to-end - investigating issues, resolving bottlenecks, and proactively identifying opportunities to improve reliability and reduce cost.</li><li>Lead code reviews and mentor other engineers, setting the bar for code quality and advocating for best practices across the team.</li><li>Drive the identification and prioritization of technical debt.</li><li>Provide thorough, readable documentation for the services you own.</li><li>Partner with engineers across the org to establish and align on shared best practices.</li><li>Bring strong technical judgment to ambiguous problems, and deliver high-quality, complex services under tight timelines.</li></ul><h3>About The Positions Contributions:</h3><h3>Accountabilities, Actions and Expected Measurable Results</h3><ul><li>50% Feature implementation: Work closely with stakeholders, product owners, and tech leadership to plan and create new services, features, and enhancements.</li><li>15% Architecture: Lead technical design of new and expanding systems; drive identification and prioritization of technical debt; proactively identify opportunities to improve reliability and reduce cost.</li><li>15% Maintenance: Own production services end-to-end; investigate, troubleshoot, and implement fixes for bugs and operational issues.</li><li>10% Review, Mentorship &amp; Testing: Lead code reviews and mentor other engineers, setting the bar for code quality; work closely with quality-assurance engineers to facilitate feature testing and contribute to automated test coverage.</li><li>10% Requirements Analysis: Consume non-technical user stories, providing feedback when necessary, translating into technical documentation, and/or using as a basis for implementation.</li></ul><h3>The Role's Minimum Qualifications and Job Requirements</h3><p>Education:<br />Bachelor's degree or higher in Computer Science or relevant industry experience.</p><p>Experience:<br />6+ years of relevant professional technology experience.</p><p>Specific Knowledge, Skills, Certifications and Abilities:</p><p>You have practical knowledge of modern development techniques and trends, and you are eager to continue learning.</p><ul><li>Demonstrated deep understanding of REST, service architecture, monitoring, and the tenets of horizontal scalability.</li><li>Experience developing complex and highly available services running in a production environment with SLAs.</li><li>Extensive knowledge of object-oriented and functional software design patterns, including those commonly used within large web application platforms.</li><li>Proven experience developing and owning production services and applications deployed in AWS or GCP, leveraging containers, continuous integration, and codified infrastructure.</li><li>Extensive experience using Node.js, TypeScript, and the NestJS framework, with some knowledge of Java and GraphQL.</li><li>Familiarity with HTML/CSS and frontend web frameworks such as Vue or Nuxt (strongly preferred).</li><li>Knowledge of NoSQL data stores, graph databases, indexing, distributed locking, media transformation, and search engines such as Elasticsearch or Solr.</li><li>Experience working in an Agile environment, translating user stories into technical tasks and estimating effort effectively.</li><li>Strong communication, analytical, and problem-solving skills.</li><li>Experience leading architecture discussions, advocating for your approach, and mentoring team members.</li><li>Motivation to learn new technologies and grow as a developer.</li></ul><p>Travel Required (Approximate) : 0%</p><p>It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or men</p></div><br />#J-18808-Ljbffr

Requirements

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• PA