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software engineer developer

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Software Engineer
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $150,000 to $166,000 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Design, develop, and test software applications. Design, develop, and/or test software applications using company technology stack. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues. Support the company's business operations and improve engineering productivity. Build software components that can be integrated into a fully functional software system. Solve production issues in product and system reliability. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field and one year of experience in the job offered or related occupation.
 
 
 
 Position Requires One Year In
 
 
 
 <ul>
 <li>
 C++, Python, Java, GIT, or SVN;
 </li>
 <li>
 SQL or MySQL;
 </li>
 <li>
 Data structures and algorithms development and functionality;
 </li>
 <li>
 Designing technology stacks;
 </li>
 <li>
 Debugging and monitoring for production services;
 </li>
 <li>
 Distributed systems;
 </li>
 <li>
 Software Development Lifecycle.
 </li>
 </ul>
</div>

Software Engineer

Current

<div>
 
 SOFTWARE ENGINEER
 
 
 
 Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
 
 
 Current&rsquo;s Engineering team is dedicated to building our products and infrastructure. With our applications running on Google Cloud Kubernetes Engine, we support a proprietary banking core that can scale to handle millions of transactions a day. Our stack includes MongoDB and Spanner for persistence, Pub/Sub for asynchronous event processing, Dataflow for data transformation paired with BigQuery and Google Cloud Storage for data storage and analytics. Our backend services are written in Java and our data pipelines are built in Scala.
 
 
 We work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection and identity protection, and large-scale transaction processing across multiple payment rails.
 
 
 We are looking for a Software Engineer to join our team in New York. This role has a salary range of $150,000 - $200,000. You will work alongside senior engineers to build and improve backend services, contribute to system design discussions, and deliver features that impact millions of members. The ideal candidate should have a background in backend development and experience working with cloud-hosted services. This person should be eager to grow, comfortable taking ownership of well-scoped projects, and motivated to work in a fast-paced environment.
 
 
 
 What To Expect
 
 
 
 <ul>
 <li>
 Taking ownership of well-scoped features and delivering them from implementation through production
 </li>
 <li>
 Building and maintaining backend services within a distributed microservices architecture
 </li>
 <li>
 Contributing to data-intensive applications and gaining exposure to cutting-edge techniques in:
 </li>
 <ul>
 <li>
 Real-time transaction decisioning
 </li>
 <li>
 Stream-processing
 </li>
 <li>
 Machine learning
 </li>
 </ul>
 <li>
 Participating in code reviews and contributing to a culture of engineering quality
 </li>
 <li>
 Contributing to engineering best practices including testing, monitoring, and documentation
 </li>
 <li>
 Collaborating with product data and business stakeholders to ship features that directly impact Current&rsquo;s members
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience, with backend experience using a JVM language, preferably Java
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or related field
 </li>
 <li>
 Strong foundation in algorithms, data structures, and object-oriented design principles
 </li>
 <li>
 Experience with RDBMS or NoSQL databases
 </li>
 <li>
 Strong problem-solving and communication skills
 </li>
 <li>
 Experience with cloud-hosted services, like AWS or GCP is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Meaningful equity in the form of stock options
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Discretionary performance bonus program
 </li>
 <li>
 Biannual performance reviews
 </li>
 <li>
 Medical, Dental and Vision premiums covered at 100% for you and your dependents
 </li>
 <li>
 Flexible time off and paid holidays
 </li>
 <li>
 Generous parental leave policy
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Fitness benefits
 </li>
 <li>
 Healthcare and Dependent care FSA benefit
 </li>
 <li>
 Employee Assistance Programs focused on mental health
 </li>
 <li>
 Healthcare advocacy program for all employees
 </li>
 <li>
 Access to mental health apps
 </li>
 <li>
 Team building activities
 </li>
 <li>
 Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
 </li>
 </ul>
</div>

Meltwater

<div>
 
 Description
 
 
 
 Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater&rsquo;s media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community.
 
 
 Our AI team is young, ambitious and focused on innovation.
 
 
 With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.
 
 
 Read our underthehood blog to see which problems our engineers are solving.
 
 
 
 What We're Looking For:
 
 
 
 Meltwater&rsquo;s Consumer Intelligence AI Team is looking for a Software Engineer in Machine Learning to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers.
 
 
 We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI.
 
 
 As a Software Engineer in Machine Learning, you will own the software systems that power machine-learning-driven features from idea to production, with a strong focus on scalability, reliability, and operational excellence. You will work closely with ML-focused engineers and product teams to bring models and experiments into robust, real-world systems operating at massive scale.
 
 
 Our team is organized over 3 objectives : innovation, research and production.
 
 
 
 Innovation:
 
 We leverage our AI expertise to constantly imagine new business oriented features to enhance our products.
 
 
 
 Research:
 
 To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.
 
 
 
 Production:
 
 We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day.
 
 
 
 Who is this role for?
 
 
 
 This role is ideal for candidates with a strong background in software engineering or computer science who enjoy building scalable, reliable systems and want to work deeply with machine learning in production. You have some familiarity with core machine learning concepts (such as training, inference, and evaluation), but you may not be an ML expert yet. You are excited to grow your modeling, experimentation, and evaluation skills while owning production ML systems end to end.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and evolve production-ready systems, evaluation, and deployment at scale.
 </li>
 <li>
 Drive the development of industrial ML projects from ideation to deployment, with a primary focus on system design, infrastructure, scalability, and reliability, while progressively contributing to modeling, evaluation, and experimentation with support from the team.
 </li>
 <li>
 Own reliability, performance, monitoring, and operational quality of ML-powered systems in production.
 </li>
 <li>
 You&rsquo;ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities.
 </li>
 <li>
 Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 2+ years of experience as a Software Engineer or Machine Learning Engineer building data-intensive, distributed, or ML-adjacent systems
 </li>
 <li>
 You have strong software engineering fundamentals, including system design, data pipelines, APIs, and production debugging, with experience taking systems from prototype to production
 </li>
 <li>
 Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)
 </li>
 <li>
 Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
 </li>
 <li>
 You are a team-player, self-learner and autonomous
 </li>
 <li>
 MS, PhD, or equivalent practical experience in computer science, software engineering, or a related technical field.
 </li>
 <li>
 Nice to have:
 </li>
 <li>
 Experience building industry-scale user-facing ML/AI/Agentic applications
 </li>
 <li>
 Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
 </li>
 <li>
 Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
 </li>
 <li>
 Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, &hellip;) is a plus
 
 
 </li>
 </ul>
 
 What We Offer:
 
 
 
 <ul>
 <li>
 You will work with a team of passionate people who are always willing to help and learn from others
 </li>
 <li>
 You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business
 </li>
 <li>
 As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference
 </li>
 <li>
 Enjoy flexible paid time off that allows you to have an enhanced work-life balance.
 </li>
 <li>
 Excellent medical, dental, and vision options
 </li>
 <li>
 401(k) matching, life insurance, commuter benefits, and parental leave plans
 </li>
 <li>
 Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
 </li>
 <li>
 Energetic work environment with a hybrid work style, providing the balance you need.
 </li>
 <li>
 Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
 </li>
 <li>
 Total compensation range for this position: $126,000 - $210,000 USD per year.
 </li>
 <li>
 We are unable to provide visa sponsorship now or in the future. Applicants must have current, unrestricted authorization to work in the United States.
 
 
 </li>
 </ul>
 
 Where You'll Work:
 
 
 
 New York
 
 
 
 When you'll join:
 
 
 
 June/July 2026
 
 
 
 Our Story
 
 
 
 At Meltwater, we believe that when you have the right people in the right environment, great things happen.
 
 
 Our best-in-class technology empowers our
 
 27,000 customers
 
 around the world to make better business decisions through data. But we can&rsquo;t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
 
 
 Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other&rsquo;s successes along the way.
 
 
 We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.
 
 
 We&rsquo;re proud of our diverse team of
 
 2,200+ employees
 
 in
 
 50 locations
 
 across
 
 25 countries
 
 around the world. No matter where you are, you&rsquo;ll work with people who care about your success and get the support you need to unlock new heights in your career.
 
 
 
 We are Meltwater. Inspired by innovation, powered by people.
 
 
 
 
 Our Team
 
 
 
 Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.
 
 
 Read our under-the-hood blog to see which problems our engineers are solving.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment.
 
 
 
 
 All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.
 
 
 
 
 Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
 
 
 We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws
 
</div>

Software Engineer - Machine Learning

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

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon&rsquo;s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers&rsquo; businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon&rsquo;s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. 
 
Are you inspired to work with a team than launches products with direct and massive impact on Amazon&rsquo;s customers? Are you excited to join one of the newest and most exciting AWS services?
 
 
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. 
See our section in Andy Jassy 2020 re:Invent keynote 
 
We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate and talented Software Development Engineers to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scaleable, resilient systems while maintaining a constant customer focus. 
 
As a developer on our team, you&rsquo;ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You&rsquo;ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data and more. 
 
This team is a great fit for you if : 
<ul><li>You enjoy working with a fun team that prides itself on a great work environment with an inclusive group of people that are working together towards a common goal.</li><li>You are sensitive to customer needs and interested in working on a service that will be used, directly and indirectly, by millions of customers and has a meaningful impact to their functions and interactions.</li><li>You&rsquo;d like to be directly responsible for solving real customer problems.</li><li>You are a passionate learner and are motivated to take on new challenges.</li><li>You want to have fun; surround yourself with a highly talented pool of engineers that like to solve complex problems, but also enjoy work life balance.</li></ul> 
 
 
About the team 
ABOUT AWS: 
 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
Inclusive Team Culture
 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Santa Clara - 143,700.00 - 194,400.00 USD annually 
USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually 
USA, NY, New York City - 158,100.00 - 213,800.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Dev Engineer II (SDE2), Amazon Connect

Two Sigma

<div>
 Position Summary
 
 
 Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
 
 
 Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world&rsquo;s most complex economic problems.
 
 
 You will be joining a team responsible for ensuring the firm has access to robust, highly performant means of trading as well as working with our modeling teams to optimize our trading systems. In this role, you will use your knowledge of market structure and high performance programming techniques to improve our platform and capabilities. You'll quickly engage with new research areas, deepen your expertise with Two Sigma data and tools, maintain high coding standards, and identify impactful projects in a multifaceted and critical field! If this sounds like an exciting role, we encourage you to apply today!
 
 
 
 You Will Take On The Following Responsibilities
 
 
 
 <ul>
 <li>
 Build platforms for simulation and live trading of different financial markets, instruments, and trading algorithms.
 </li>
 <li>
 Extend trading platforms to cover new markets and new asset classes, accounting for the financial details of those securities; review software code for errors and improvements.
 </li>
 <li>
 Analyze performance of software and other quantitative measures to inform decision making regarding the design and improvements of the trading systems.
 </li>
 <li>
 Design, engineer, and implement various financial trading and measurement software applications.
 </li>
 <li>
 Provide software support to traders implementing their portfolio orders.
 
 
 </li>
 </ul>
 
 You Should Possess The Following Qualifications
 
 
 
 <ul>
 <li>
 Minimum 1 year of experience required; 2-6 years of experience preferred systems level development.
 </li>
 <li>
 BS or MS degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Experience with C, C++, or Rust is required. Familiarity with Python is a plus.
 </li>
 <li>
 A high-level understanding of data structures and algorithms.
 </li>
 <li>
 Experience in deploying and optimizing quantitative models in production environments is a strong plus
 </li>
 <li>
 Experience in large-scale systems is desirable
 
 
 </li>
 </ul>
 
 You Will Enjoy The Following Benefits
 
 
 
 <ul>
 <li>
 Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life &amp; disability insurance
 </li>
 <li>
 Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
 </li>
 <li>
 Learning: Tuition reimbursement, conference and training sponsorship
 </li>
 <li>
 Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
 </li>
 <li>
 Hybrid Work Policy: Flexible in-office days with budget for home office setup
 
 
 </li>
 </ul>
 The base pay for this role will be between $165,000 and $250,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
 
 
 We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
 
 
 Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
 
 
 If you believe you need an accommodation, please visit our website for additional information.
</div>

Software Engineer, Trading Engineering

Software Engineer, Product

Explore 256+ Software engineer developer in New York this May. Find roles across top companies and apply now to boost your career.

256 software engineer developer jobs In New York

Software Engineer

Software Engineer

Software Engineer - Machine Learning

Software Engineer I / II

Software Dev Engineer II (SDE2), Amazon Connect

Software Engineer, Trading Engineering

Software Engineer, Product