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Hungryroot

<div>About Us

Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living&mdash;getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family.

It's the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That's why we're building a future in which healthy living is both easy and enjoyable.

Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat.

About the role

We're looking for a Senior Operations Research Engineer to be a part of our growing Data Science team. You'll be responsible for working directly on our core Machine Learning/Operations Research algorithms for: grocery personalization, recipe selection, supply chain forecasting, clustering and more. As a member of the team, you will be building models collaboratively with others, and implement them in experimentation and production settings. You will be analyzing results of experiments, and will deep dive into the results to understand their impact, as well as plan next iterations.

This role will join Hungryroot's Data Science team and you'll report directly to our Director of Data Science. In this critical role you will work closely with our data scientists and operation research experts to tackle the core challenges at the company that will be crucial to the success of Hungryroot. If you want to help us change how people grocery shop and eat for the better, we'd love for you to apply!

Responsibilities
<ul>
<li>Building out Operations Research modeling for our box filling algorithms, inventory forecasting, supply chain optimization</li>
<li>Machine learning modeling for our core grocery personalization algorithms</li>
<li>Data analysis, discussion and interpretation of experiment results</li>
<li>Data analysis and interpretation of production data to inform future experiments and decisions</li>
</ul>
Qualifications
<ul>
<li>Experience with optimization tools and libraries (Gurobi, CPLEX, PuLP) Gurobi is our primary platform for linear optimization</li>
<li>Knowledge of Machine Learning algorithms and systems, with at least one application built and deployed to production</li>
<li>Strong programming skills in Python</li>
<li>Proficiency in data manipulation, analysis, and visualization.</li>
<li>Excellent problem-solving skills and the ability to translate business problems into mathematical models.</li>
<li>Demonstrated ability to work independently and collaboratively in a fast-paced environment.</li>
<li>Be able to discuss the pros and cons of various solutions to a problem.</li>
<li>Ability to explain complex technical concepts to non-technical stakeholders.</li>
</ul>
Nice to Haves
<ul>
<li>Machine learning frameworks (e.g., scikit-learn, PyTorch)</li>
<li>Masters or PhD in Operations Research</li>
</ul>
Perks &amp; Benefits
<ul>
<li>Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!</li>
<li>Equity</li>
<li>Unlimited vacation policy</li>
<li>Universal paid parental leave</li>
<li>Monthly Hungryroot credit for delicious, healthy groceries</li>
<li>Comprehensive health, vision, dental, and life insurance</li>
<li>401k with Company Match</li>
<li>A work from home stipend to support your initial home-office setup</li>
</ul>
Expected Salary Range

$168,000-$210,000

#LI-REMOTE

The employer will not sponsor applicants for work visas.

Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class.</div>

Senior Operations Research Engineer

Octus

<div><div>Octus

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.
 
For more information, visit: https://octus.com/

Working at Octus

Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values &ndash; Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel &ndash; define an organizational ethos that&rsquo;s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more. 
 
Role</div><div>
As a Senior AI Engineer focused on CreditAI, our flagship GenAI product, you will own complex technical problems across the full AI stack &mdash; designing distributed systems, orchestrating multi-agent workflows, and ensuring production reliability at scale.

Responsibilities
<ul>
<li>Design and implement multi-agent and agentic orchestration frameworks using agent SDKs such as the Claude Agent SDK, Google ADK, or AWS AgentCore, incorporating tools, external data sources, memory, and state management</li>
<li>Build and maintain MCP servers and integrations to extend AI system capabilities with structured tool use and external context</li>
<li>Build and optimize RAG pipelines including embedding strategies, vector database, retrieval quality tuning, and cost-aware ingestion design</li>
<li>Integrate with managed LLM services across cloud providers to support diverse deployment and cost optimization strategies.</li>
<li>Fine-tune, optimize, and deploy open-source deep learning models for production use cases, leveraging GPU infrastructure for training and inference</li>
<li>Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies.</li>
<li>Design and implement automated evaluation frameworks to assess LLM system quality, accuracy, and performance across production workloads</li>
<li>Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to improve model alignment and task-specific performance</li>
<li>Architect and manage high-throughput, real-time data pipelines using Kafka</li>
<li>Design, deploy, and scale production AI services on AWS (Batch, Lambda, ECS, S3, etc), applying modern containerization, CI/CD, and infrastructure-as-code practices</li>
<li>Implement comprehensive observability frameworks using Datadog &mdash; tracking token usage, pipeline latency, error rates, consumer lag, and model performance with actionable alerting</li>
<li>Identify and resolve production bottlenecks across distributed systems, including database query optimization, consumer scaling, and LLM throughput tuning</li>
<li>Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs.</li>
<li>Conduct code reviews; contribute to team standards around reliability, testing, and operational excellence</li>
<li>Communicate progress, trade-offs, and outcomes to relevant stakeholders.</li>
<li>Continuously learn and adapt to advancements in NLP and Generative AI to ensure solutions remain innovative and effective.</li>
</ul>
Requirements
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).</li>
<li>5+ years of experience as an AI Engineer, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science and algorithms.</li>
<li>Deep Python expertise with a track record of shipping production systems at scale; strong software engineering practices including clean code, testing, code review, and CI/CD.</li>
<li>Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including multi-agent architectures and agentic workflows, with familiarity with vector databases, embeddings pipelines, or semantic search systems.</li>
<li>Hands-on experience designing and implementing automated evaluation frameworks for LLM systems</li>
<li>Solid understanding of machine learning and applied AI concepts, with the ability to take solutions from prototype to production and translate research ideas into scalable, real-world systems.</li>
<li>Experience with GPUs for model training or inference, including tuning and deploying open-source deep learning models in production; proficiency with PyTorch or TensorFlow for model development and fine-tuning.</li>
<li>Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, and caching strategies.</li>
<li>Strong problem-solving and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, and cost.</li>
<li>Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions.</li>
<li>Strong ownership and initiative, with the ability to independently drive projects from problem definition to delivery; a passion for learning and staying current with the rapidly evolving AI/ML landscape.</li>
</ul>
At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $160,000 - $170,000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.</div><div>
Equal Employment Opportunity

Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.</div></div>

Senior AI Engineer

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive base + bonus + equity
 </li>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $500/month wellness &amp; commuter benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II

Mercor

<div>
 
 About Mercor
 
 
 
 Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
 
 
 Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
 
 
 
 About The Role
 
 
 
 As a
 
 Software Engineer on Applied AI
 
 , you&rsquo;ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
 
 
 This is a high-ownership, deeply technical role. You&rsquo;ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You&rsquo;ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor&rsquo;s internal teams to ship high-impact applied AI solutions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
 </li>
 <li>
 Build and operate scalable data pipelines for post-training workflows and model evaluations
 </li>
 <li>
 Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
 </li>
 <li>
 Prototype new data types, benchmarks, and evaluation frameworks
 </li>
 <li>
 Lead technical discussions with customers
 
 
 </li>
 </ul>
 
 What Makes This Role Different
 
 
 
 <ul>
 <li>
 Direct frontier exposure. You&rsquo;ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
 </li>
 <li>
 Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.
 
 
 </li>
 </ul>
 
 Day-to-Day
 
 
 
 <ul>
 <li>
 Fast-moving, high-ownership environment
 </li>
 <li>
 Technically demanding, collaborative work
 </li>
 <li>
 &ldquo;Building the plane while flying it&rdquo;
 </li>
 <li>
 In-person culture (SF, 181 Fremont)
 </li>
 <li>
 Aligned with frontier research timelines
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
 </li>
 <li>
 Experience with model training and inference
 </li>
 <li>
 Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
 </li>
 <li>
 Familiarity with evaluation methods for large language models
 </li>
 <li>
 Comfort working through ambiguity and shipping iteratively
 
 
 </li>
 </ul>
 
 You&rsquo;re Likely Someone Who
 
 
 
 <ul>
 <li>
 Enjoys ownership and customer-facing problem solving
 </li>
 <li>
 Thinks entrepreneurially and moves quickly
 </li>
 <li>
 Balances speed with engineering rigor
 </li>
 <li>
 Communicates clearly with technical and non-technical users
 
 
 </li>
 </ul>
 
 Why Engineers Join
 
 
 
 <ul>
 <li>
 Direct exposure to frontier AI research
 </li>
 <li>
 Real ownership and visible impact
 </li>
 <li>
 Technical depth paired with human interaction
 </li>
 <li>
 Fast feedback loops and high leverage
 </li>
 <li>
 There are very few roles that combine this level of technical rigor, customer proximity, and research exposure.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Bi-annual performance bonus structure
 </li>
 <li>
 Generous equity grant vested over 4 years
 </li>
 <li>
 Up to $15k Relocation bonus
 </li>
 <li>
 $10K proximity bonus (if you live within 0.5 miles of our office)
 </li>
 <li>
 $1.5K monthly stipend for meals
 </li>
 <li>
 Free Equinox membership
 </li>
 <li>
 $200 monthly laundry reimbursement
 </li>
 <li>
 $200 monthly personal wellness reimbursement
 </li>
 <li>
 Health, Dental, Vision insurance
 
 
 </li>
 </ul>
 Compensation Range: $130K - $500K
 
 
</div>

Software Engineer, Applied AI

Blossom

<div>
 Blossom Health exists to
 
 solve the mental health epidemic
 
 in America by partnering with psychiatrists to expand access to affordable, timely, clinically-effective mental healthcare. Our
 
 AI-native care platform
 
 is loved by hundreds of clinicians and thousands of patients.
 
 
 We&rsquo;re a
 
 Series A
 
 company with
 
 $20M+ raised
 
 from Headline, Village Global, and the founders of General Catalyst, Flatiron Health, Sword Health, Grow Therapy, Fay, Elemy, Zip, Blank Street, Assured, Bridge, Birches Health, and Enzo Health.
 
 
 
 
 Why you should work here:
 
 
 
 
 <ul>
 <li>
 🚀 Hyper-growth environment: Get firsthand exposure to how a startup scales from 0&rarr;1&rarr;n, with visibility across product, engineering, and operations
 </li>
 <li>
 🤝 High trust and autonomy: You&rsquo;ll own meaningful projects from day one and shape both technical decisions and product direction. We trust engineers to figure out the best path forward - without micromanagement.
 </li>
 <li>
 🧠 Talent-dense team: Work with a top-percentile team built on mutual respect and admiration, with shared goals, motivations, and vision for the future.
 </li>
 <li>
 ⚡ Real impact: Your code will directly improve access to mental health care for thousands of patients and clinicians
 
 
 </li>
 </ul>
 
 
 What we're looking for:
 
 
 
 
 <ul>
 <li>
 Highly motivated, ambitious, and capable - looking to tackle a large, meaningful problem area
 </li>
 <li>
 Ownership mindset - thinking for the long-term and placing the business and our customers first
 </li>
 <li>
 High velocity and high excellence - have a real sense of urgency to move quickly and take pride in the quality of your work
 </li>
 <li>
 An explorer - comfortable with ambiguity and autonomy, seeking to answer questions previously unasked, to leap into the unknown
 </li>
 <li>
 An optimist - you believe in a tomorrow better than today
 </li>
 <li>
 A builder - you take joy in bringing new creation to the world, in leveraging technology to make useful things
 </li>
 <li>
 Humble - you use your gifts in the service of others and understand that success is an output, not an input
 
 
 </li>
 </ul>
 
 
 What you'll do:
 
 
 
 
 <ul>
 <li>
 Design and build scalable, reliable systems powering core product workflows
 </li>
 <li>
 Ship high-quality code that balances speed and technical rigor
 </li>
 <li>
 Proactively identifying and resolving system reliability risks, owning uptime, observability, and performance as first-class engineering concerns
 </li>
 <li>
 Leverage cutting-edge AI to create intuitive and novel clinician and patient experiences
 </li>
 <li>
 Conduct thoughtful code reviews and provide technical mentorship, raising the bar for engineering excellence across the team and beyond
 
 
 </li>
 </ul>
 
 
 You'll thrive here if you:
 
 
 
 
 <ul>
 <li>
 Have a bachelor's degree or equivalent experience in Computer Science or related field
 </li>
 <li>
 Have 2+ years of professional working experience outperforming in high-quality environments
 </li>
 <li>
 Excel at building production systems end-to-end with minimal oversight
 </li>
 <li>
 Are fluent in TypeScript and/or Python (experience with LLM-powered apps preferred)
 </li>
 <li>
 Are comfortable with traversing the software stack and picking up the latest technologies to drive technical outcomes
 </li>
 <li>
 Love autonomy, ambiguity, and ownership
 </li>
 <li>
 Are authorized to work in the U.S. and excited to be in-person in NYC 5 days a week
 
 
 </li>
 </ul>
 
 
 Benefits:
 
 
 
 
 <ul>
 <li>
 Competitive salary, equity, growth opportunities
 </li>
 <li>
 Best-in-class health, dental, and vision insurance
 </li>
 <li>
 A focus on outcomes, not hours, with unlimited PTO
 </li>
 <li>
 Team outings, offsites, and a sunny NYC office stocked with snacks
 
 
 </li>
 </ul>
 Compensation Range: $150K - $220K
 
 
</div>

Software Engineer (All Levels)

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li>8 years of experience in software development, including large-scale data systems or information retrieval.</li>
<li>Experience with programming in C++, Java, Python, or Go.</li>
<li>Experience designing and maintaining data pipelines.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality).</li>
<li>Track record of leading organization-wide technical debt reduction or metrics convergence projects.</li>
<li>Ability to navigate a matrixed organization and drive alignment across cross-functional teams.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Our goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions and conduct research on topline and operational metrics to drive data-driven choices. 
 
As a Staff Software Engineer focusing on Data Engineering, you will build the scalable data foundations that empower this mission. You will work end-to-end to help build products that users love, enabling headroom analysis, experiment analysis, and technical trade-offs between competing metrics (e.g., richness of experience vs. search latency) through machine-consumable data systems
In Google Search, we're reimagining what it means to search for information &ndash; any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.</li>
<li>Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics.</li>
<li>Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption.</li>
<li>Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights.</li>
<li>Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Data Engineer, Search, Data Science

Capital One

<div>Senior Lead Software Engineer, Full Stack (React, Scala)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
About the Team: The Travel Portal Messaging Team is building a ground-up messaging and push notification platform to support Capital One Travel products that will directly connect to users regarding their travel plans. The travel organization primarily develops in the Scala/Finagle stack, and is looking for strong Scala or Functional Java experience, as well as strong communication skills to communicate with the numerous stakeholder teams.
What You&rsquo;ll Do:<ul><li>
Work across Capital One Travel, as we look to develop the platform to support increased personalization, support new and emerging groups of users, and lead a team of developers and designers.</li><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Scala, Java, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in software engineering (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: Scala, Java, Python, or Go</li><li>
4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
1+ years of people management experience</li><li>
2+ years of experience in Agile practices</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead Software Engineer, Full Stack (React, Scala)

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