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software engineer developer

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 
 
 Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, design, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.
 
 
 The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Write well-crafted, well-tested, readable, maintainable code
 </li>
 <li>
 Participate in code reviews to ensure code quality and distribute knowledge
 </li>
 <li>
 Participate in our team on-call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
 </li>
 <li>
 Have the ability to explain the various trade offs made in decisions
 </li>
 <li>
 Manage project priorities, deadlines, and deliverables.
 </li>
 <li>
 Partner with product managers, designers, scientists, and other engineering teams to build complex features and products from idea to positive execution
 
 
 </li>
 </ul>
 Experience:
 
 
 <ul>
 <li>
 BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
 </li>
 <li>
 Experience with Python, Go.
 </li>
 <li>
 Proficiency in object-oriented programming
 </li>
 <li>
 Experience working with data structures or algorithms
 </li>
 <li>
 Ability to work with a low-ego, highly collaborative, and cross-functional team
 </li>
 <li>
 Bonus points: experience pursuing side projects or open-source projects
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 Great medical, dental, and vision insurance options with additional programs available when enrolled
 </li>
 <li>
 Mental health benefits
 </li>
 <li>
 Family building benefits
 </li>
 <li>
 Child care and pet benefits
 </li>
 <li>
 401(k) plan with company match to help save for your future
 </li>
 <li>
 In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
 </li>
 <li>
 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
 </li>
 <li>
 Subsidized commuter benefits
 </li>
 <li>
 Monthly Lyft credits and complimentary Lyft Pink membership
 
 
 </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 
 
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 
 
 The expected base pay range for this position in the New York City area is $108,000 - $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>

Software Engineer, Rider

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience programming in C++, Python, or Java.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms in either an academic or industry setting.
 </li>
 <li>
 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
 </li>
 <li>
 Experience developing accessible technologies.
 </li>
 <li>
 Proficiency in code and system health, diagnosis and resolution, and software test engineering.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The US base salary range for this full-time position is $147,000-$211,000 + 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 .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 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>

Software Engineer III

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>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Paid parental leave (12 weeks maternal, 6 weeks paternal)
 </li>
 <li>
 Commuter benefits
 </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 - New York

Point72

<div><div><div>EXPERIENCE
<div>Experienced Professionals</div>
</div><div>LOCATION
<div>New York</div>
</div><div>FOCUS
<div>Software &amp; System Engineering</div>
</div><div>BUSINESS
<div>Point72</div></div></div></div>
 <div><h3 class="jobSectionHeader">A Career with Point72&rsquo;s Knowledge Graph Intelligence Team</h3>

On the Knowledge Graph Intelligence team, you&rsquo;ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We&rsquo;re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.<h3 class="jobSectionHeader"> 
What you&rsquo;ll do</h3>

In this data-heavy role, you will design and build mission-critical infrastructure that powers our machine learning lifecycle, from large-scale data processing and feature engineering to model training, real-time deployment, and monitoring. Specifically, you will: 
<ul><li>
Architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture, using technologies like gRPC, Kafka, and high-performance API frameworks, like FastAPI, Spring WebFlux, and Axum.</li><li>
Engineer and automate robust, large-scale data processing pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, and lead the design and implementation of our Feature Store strategy.</li><li>
Own the MLOps framework for model training, versioning, and deployment, including CI/CD pipelines, automated workflows, and experiment tracking and evaluation tooling.</li><li>
Implement sophisticated deployment strategies, including canary, blue-green, shadow, and A/B testing, to ensure safe, zero-downtime releases, and optimize inference performance for LLMs and other large models.</li><li>
Leverage cutting-edge tools and techniques like quantization and compilation to maximize throughput and minimize latency.</li><li>
Collaborate with data scientists to develop models and optimize model performance for low-latency serving using techniques like Python performance tuning.</li><li>
Define, provision, and manage our cloud infrastructure using Terraform, working hands-on with a wide array of cloud services across compute, storage, and machine learning platforms.</li></ul> 
<h3 class="jobSectionHeader">
What&rsquo;s required</h3>
<ul><li>5+ years of experience in a software, data, or ML engineering role.</li><li>
Strong proficiency in SQL.</li><li>
Experience building and orchestrating data pipelines using tools such as Spark, dbt, and Dagster/Airflow, as well as data warehouses like Snowflake, Redshift, BigQuery.</li><li>
Understanding of infrastructure as code, including experience with Terraform.</li><li>
Proficiency with containerization and orchestration including Docker and Kubernetes.</li><li>
Hands-on experience with CI/CD tools and ML lifecycle tools, including Jenkins, MLflow, Kubeflow, and W&amp;B.</li><li>
Experience with AWS and its core services including S3, EC2, Lambda, RDS, and EMR, and practical experience with Boto3 and AWS ML services SageMaker and Bedrock.</li><li>
Understanding of modern ML models and ability to discuss the performance characteristics and engineering trade-offs that influence deployment decisions.</li><li>
Experience with systems incorporating Graph Neural Networks (GNNs), recommendation systems, anomaly detection, and complex time-series models.</li><li>
Commitment to the highest ethical standards.</li></ul> 
<h3 class="jobSectionHeader">
We take care of our people</h3>

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
<ul><li>
Fully-paid health care benefits</li><li>
Generous parental and family leave policies</li><li>
Mental and physical wellness programs</li><li>
Volunteer opportunities</li><li>
Non-profit matching gift program</li><li>
Support for employee-led affinity groups representing women, minorities and the LGBT+ community</li><li>
Tuition assistance</li><li>
A 401(k) savings program with an employer match and more</li></ul> 
<h3 class="jobSectionHeader">
About Point72</h3>

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry&rsquo;s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry&rsquo;s brightest talent. We&rsquo;re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here 
The annual base salary range for this role is $175,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.</div>

Software Engineer, Machine Learning

GlossGenius

<div>
 
 
 About GlossGenius
 
 
 
 GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools, including booking and scheduling, marketing, analytics, payment processing, and much more.
 
 
 Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
 
 
 
 About the Role
 
 
 
 GlossGenius has grown significantly, supporting tens of thousands of customers and seeing billions of transaction volumes on our platforms. As our customers continue to grow their businesses, we want to enable them to be more successful. For that, we&rsquo;re building AI features that will transform how our customers operate and grow their businesses.
 
 
 That&rsquo;s why we are seeking strong
 
 Software Engineers, All levels
 
 to join one of our Product or Platform-based teams. Product-focused engineers work at the intersection of business needs and technical solutions, solving key customer problems. Platform-focused engineers build scalable, reliable, and extensible systems that empower product teams to move faster, deliver with quality, and focus on customer value.
 
 
 You must be commutable to our NYC headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
 
 
 
 What We Work With
 
 
 
 We are open to hearing from candidates who know different programming languages and are excited to learn more and grow their skills. Our current stack:
 
 <ul>
 <li>
 Kotlin (micronaut, jooq), Ruby (Rails, Sidekiq), gRPC, protobuf
 </li>
 <li>
 Typescript / Javascript (React, Redux)
 </li>
 <li>
 React Native
 </li>
 <li>
 AWS, Kubernetes, Postgres, and Terraform
 </li>
 </ul>
 
 
 What You&rsquo;ll Do
 
 
 
 As a Software Engineer at GlossGenius, you'll play a critical role in shaping a platform that powers over 100,000 small businesses and processes more than $3 billion in payments annually. Engineers work on high-impact initiatives that support our rapid growth and evolving scale. Examples of your potential responsibilities include:
 
 <ul>
 <li>
 Develop, release, and run large-scale web applications that empower beauty and wellness businesses to operate and grow.
 </li>
 <li>
 Build new AI features for our customers.
 </li>
 <li>
 Develop and define our microservice-based infrastructure.
 </li>
 <li>
 Build tools and solutions that enable internal teams to work faster, more effectively, with more confidence, and improve the value they can provide our users (Business Scalability team).
 </li>
 <li>
 Work on core experiences such as making payments friction-free for clients and customers, building tools to help customers earn more per hour, or enabling businesses to effortlessly grow and manage their teams.
 </li>
 <li>
 Focus on front-end development, crafting intuitive and engaging user experiences for our web and mobile applications.
 </li>
 <li>
 Improve performance, reliability, scalability, and security for our backend systems.
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 2+ years of professional experience in software development.
 </li>
 <li>
 A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 A strong desire to move fast and have a significant impact.
 </li>
 <li>
 An entrepreneurial mindset, eager to take ownership and contribute new ideas to solve challenging problems.
 </li>
 <li>
 Ability to analyze and improve efficiency, scalability, and stability of various system resources.
 </li>
 <li>
 Demonstrates strong collaboration skills and team spirit.
 </li>
 </ul>
 
 Benefits &amp; Perks&nbsp;
 
 <ul>
 <li>
 Flexible PTO
 </li>
 <li>
 Competitive health &amp; dental insurance options, with premiums partially or fully covered by GG
 </li>
 <li>
 In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
 </li>
 <li>
 Fertility and adoption benefits via Carrot
 </li>
 <li>
 Generous, fully-paid parental leave policy
 </li>
 <li>
 401k benefit - employees are eligible to contribute starting day 1 of employment
 </li>
 <li>
 Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
 </li>
 <li>
 Pre-tax commuter benefits
 </li>
 <li>
 Dependent Care FSA
 </li>
 <li>
 Home office support
 </li>
 </ul>
 
 
 The starting base salary for this role in New York is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills,
 
 experience
 
 , location, and education. The base pay range is subject to change and may be modified in the future.&nbsp; Additionally, this role is currently eligible to participate in GlossGenius&rsquo;s equity plan as well as a range of health &amp; wellbeing, retirement savings, and other benefits within our total rewards offering.
 
 
 
 
 At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
 
 
 
 
 Personal Information: Notice at Collection for Employees and Applicants
 
 
 
 
 Agency Submissions
 
 
 
 If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.&nbsp;
 
 
</div>

Software Engineer - All Levels

Edra

<div>
 
 About Edra
 
 
 
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 
 
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 
 
 
 The Role
 
 
 
 We're looking for Full Stack Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and interfaces that are a pleasure for both users and other engineers to work with. You won't be building AI models&ndash;you'll be building everything around them: the platform, workflows, user-facing experiences, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 
 
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and build platform systems in Python (FastAPI)--from API contracts to database schema and infrastructure&ndash;and high-quality user-facing experiences in TypeScript and React, with an emphasis on clean component design, strong typing, and maintainable frontends
 </li>
 <li>
 Build shared TypeScript and Python libraries, component systems, and internal tooling that make the rest of the engineering team more productive. Define and enforce patterns, shared types, and contracts across the frontend and API boundary
 </li>
 <li>
 Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets. You might design a schema in the morning, build a React component in the afternoon, and debug a deployment issue before end of day
 </li>
 <li>
 Contribute to the direction and design of our product. Work closely with design, reason clearly about interface decisions, and participate in weekly product meetings to understand how customers and forward-deployed engineers use what you build
 </li>
 <li>
 Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
 </li>
 <li>
 Have direct influence on technical direction; choose tools, set patterns, and establish conventions the team will build on for years. Collaborate daily with a small, high-caliber team of engineers and AI specialists
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 3+ years of experience in software engineering (but a computer science degree is not necessarily required)
 </li>
 <li>
 A love of writing Python and TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
 </li>
 <li>
 You light up when designing a clean database schema and take real pride in getting data models right
 </li>
 <li>
 You have good visual and interaction judgment, even if you're not a designer by title
 </li>
 <li>
 You've built libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
 </li>
 <li>
 You're at your best when you own a problem end to end&ndash;comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
 </li>
 <li>
 You're drawn to building foundational systems from scratch&ndash;greenfield work where your decisions compound over time excites you
 
 
 </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 
 
 
 Learn More About Edra
 
 
 
 <ul>
 <li>
 Watch our Series A announcement video
 </li>
 <li>
 Read our blog post from our launch
 </li>
 <li>
 Learn more about what we're building
 
 
 </li>
 </ul>
 
 A Few Details
 
 
 
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 
 
 Compensation Range: $180K - $250K
 
 
</div>

Software Engineer - Full Stack (New York)

The New York Times

<div>
 
 The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It&rsquo;s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It&rsquo;s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it&rsquo;s why our business strategy centers on making journalism so good that it&rsquo;s worth paying for.
 
 
 
 
 About The Role
 
 
 
 The New York Times is looking for a Software Engineer to join our Scoop Core team. Our mission is to empower product teams with a modern platform that serves as the single source for all content.
 
 
 Our platform enables teams to manage and evolve content schemas quickly and safely, while also providing the foundation for building user-friendly collaborative editing and publishing tools.
 
 
 We use GraphQL for Schema Definition and queries, Golang for development and PostgreSQL for data storage. We host our platform services on AWS. We also maintain the existing legacy publishing platforms that are hosted on GCP.
 
 
 You will report to the Senior Engineering Manager, Scoop Core.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Take on multiple technical tasks not limited to programming, such as working with Cloud services, platforms and APIs
 </li>
 <li>
 Research and document proposed solutions
 </li>
 <li>
 Write unit tests, integration tests and user documentation
 </li>
 <li>
 Assist other teams to onboard to our platform
 </li>
 <li>
 Maintain existing legacy systems
 </li>
 <li>
 Collaborate and learn through pairing, design reviews, and code reviews
 </li>
 <li>
 Collaborate with Product Management and other professionals within your team and across the organization
 </li>
 <li>
 Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 You have 2+ years of experience building large-scale software applications
 </li>
 <li>
 You have experience building backend systems
 </li>
 <li>
 You have hands-on unit and integration testing experience
 </li>
 <li>
 You have experience communicating updates and resolutions to customers and cross-functional partners
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Golang, GraphQL and tooling
 </li>
 <li>
 Experience in deployments and services on cloud platforms
 </li>
 <li>
 Experience in observability and tooling
 </li>
 <li>
 Experience with Docker and Kubernetes for container and deployment orchestration
 
 
 </li>
 </ul>
 REQ-019826
 
 
 The annual base pay range for this role is between:
 
 
 $110,000 - $130,000 USD
 
 
 For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
 
 
 For roles outside of the U.S., information on benefits will be provided during the interview process.
 
 
 The New York Times Company is committed to being the world&rsquo;s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
 
 
 We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)&rsquo;s Know Your Rights Poster is available here.
 
 
 The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
 
 
 The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
 
 
 For information about The New York Times' privacy practices for job applicants click here.
 
 
 Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.
 
 
 If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.
 
 
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