34,441 Backend Engineering jobs in the United States

As a Lead Software Engineer at JPMorgan Chase within the Accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them.

While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world.

Job responsibilities

• Use domain modeling techniques to allow us to build best in class business products.
• Structure software so that it is easy to understand, test and evolve.
• Build solutions that avoid single points of failure, using scalable architectural patterns.
• Develop secure code so that our customers and ourselves are protected from malicious actors.
• Promptly investigate and fix issues and ensure they do not resurface in the future.
• Make sure our releases happen with zero downtime for our end-users.
• See that our data is written and read in a way that's optimized for our needs.
• Keep an eye on performance, making sure we use the right approach to identify and solve problems.
• Ensure our systems are reliable and easy to operate.
• Keep us up to date by continuously updating our technologies and patterns.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Identifies problems, proposes solutions, suggests what's best to focus on. Sees themselves as a problem solver.
• Contributes to the problem at hand, even when outside their area of speciality.
• A desire to teach others and share knowledge. We aren't looking for hero developers, more for team players.
• Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns and unlearns technologies and patterns quickly. Comfortable in uncharted waters.
• Can see the long term. Won't sacrifice the future for the present. Chooses technologies and approaches based on the end goals.
• High standards. Expects personal performance and team performance to be nothing short of the best.
• Does not cut corners ethically. Earns and maintains trust.
• Does what's best for the company, rather than what's best for themselves or their team.
• Able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long term goals

• We primarily use Jvm based languages (Java/Kotlin) but we also have parts of the platform that use other languages as needed.
• We look to use Open source when it makes sense and build ourselves when it doesn't.
• We are entirely cloud native and want to build a truly multi-cloud solution.
• We look at each problem independently and pick the right technology to solve it.
• We aren't afraid to try new things but we always remember that we are looking to build something to last, and we focus on solving real world problems for real life customers.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
New York,NY $152,000.00 - $215,000.00 / year

About The Company: At Scribd (pronounced scribbed ), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for GRIT . The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve G oals, achieve R esults within their job responsibilities, contribute I nnovative ideas and solutions, and positively influence the broader T eam through collaboration and attitude. About the Recommendations Team The Recommendations team powers personalized discovery across Scribd's products, delivering relevant and engaging suggestions to millions of users. We operate at the intersection of large-scale data, cutting-edge machine learning, and product innovation - collaborating across brands and platforms to enhance user experiences in reading, listening, and learning. Our team is a blend of frontend, backend, and ML engineers who partner closely with product managers, data scientists, and analysts. We: Prototype 0 1 solutions in collaboration with product and engineering teams. Build and maintain end-to-end, production-grade ML systems for recommendations, search, and generative AI features. Develop and operate services in Go, Python, and Ruby that power high-traffic recommendation and personalization pipelines. Run large-scale A/B and multivariate experiments to validate models and feature improvements. Transform Scribd's massive, diverse dataset into actionable insights that drive measurable business impact. Explore and implement generative AI for conversational recommendations, document understanding, and advanced search capabilities. About the Role We're looking for a Machine Learning Engineer who will design, build, and optimize ML systems that scale to millions of users. You'll work across the entire lifecycle - from data ingestion to model training, deployment, and monitoring - with a focus on creating fast, reliable, and cost-efficient pipelines. You'll also play a key role in delivering next-generation AI features like doc-chat and ask-AI that expand how users interact with Scribd's content. Key Responsibilities : Data Pipelines - Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks . Model Development & Deployment - Train, evaluate, and deploy ML models (including generative models) to production using Scribd's internal platform and industry-standard frameworks. Experimentation - Design and run A/B and N-way experiments to measure the impact of model and feature changes. Cross-Functional Collaboration - Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems. Requirements Must Have 4 years of post qualification experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda). Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor's or Master's degree in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems. Expertise in experimentation design, causal inference, or ML evaluation methodologies. Why Work With Us High-Impact Environment: Your contributions will power recommendations, search, and next-generation AI features used by millions of readers, learners, and listeners worldwide. Cutting-Edge Projects: Tackle challenging ML and AI problems with a forward-thinking team, building novel generative features on top of Scribd's massive and unique dataset. Collaborative Culture: Join a culture that values debate, fresh perspectives, and a willingness to learn from each other. Flexible Workplace: Benefit from Scribd Flex, which offers autonomy in choosing your daily work style, while still prioritizing in-person collaboration. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $146,500 to $28,000. In the United States, outside of California, the reasonably expected salary range is between 120,000 to 217,000. In Canada, the reasonably expected salary range is between 153,000 CAD to 202,000 CAD. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.* Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays ( winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. J-18808-Ljbffr

• Prototype 0→1 solutions in collaboration with product and engineering teams.
• Build and maintain end-to-end, production-grade ML systems for recommendations, search, and generative AI features.
• Develop and operate services in Go, Python, and Ruby that power high-traffic recommendation and personalization pipelines.
• Run large-scale A/B and multivariate experiments to validate models and feature improvements.
• Transform Scribd's massive, diverse dataset into actionable insights that drive measurable business impact.
• Explore and implement generative AI for conversational recommendations, document understanding, and advanced search capabilities.

• Data Pipelines - Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks .
• Model Development & Deployment - Train, evaluate, and deploy ML models (including generative models) to production using Scribd's internal platform and industry-standard frameworks.
• Experimentation - Design and run A/B and N-way experiments to measure the impact of model and feature changes.
• Cross-Functional Collaboration - Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems.

• 4+ years of post qualification experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale.
• Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered).
• Expertise in designing and architecting large-scale ML pipelines and distributed systems.
• Deep experience with distributed data processing frameworks (Spark, Databricks, or similar).
• Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda).
• Proven ability to optimize system performance and make informed trade-offs in ML model and system design.
• Experience leading technical projects and mentoring engineers.
• Bachelor's or Master's degree in Computer Science or equivalent professional experience.

• Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems.
• Expertise in experimentation design, causal inference, or ML evaluation methodologies.

• High-Impact Environment: Your contributions will power recommendations, search, and next-generation AI features used by millions of readers, learners, and listeners worldwide.
• Cutting-Edge Projects: Tackle challenging ML and AI problems with a forward-thinking team, building novel generative features on top of Scribd's massive and unique dataset.
• Collaborative Culture: Join a culture that values debate, fresh perspectives, and a willingness to learn from each other.
• Flexible Workplace: Benefit from Scribd Flex, which offers autonomy in choosing your daily work style, while still prioritizing in-person collaboration.

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Onboarding stipend for home office peripherals + accessories
• Learning & Development allowance
• Learning & Development programs
• Quarterly stipend for Wellness, WiFi, etc.
• Mental Health support & resources
• Free subscription to the Scribd Inc. suite of products
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company-wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
• Access to AI Tools:We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.

Lateral stands for technology excellence.

Were a profitable, award-winning design and technology company with over 20 years of experience launching bold ventures and transforming businesses. A globally distributed team of 200+ experts united by a shared purpose: the continuous pursuit of quality.

Our clients come to us for results, quality and craft - and stay because we keep raising the bar.

Our mission is simple:design and build great products . What sets us apart isnt just the talent of our team - its the way we work:

We Have A Bias For Action & Results.

We are doers - we spot the gaps, connect the dots, anticipate whats around the corner and take action. We move fast, stay focused, and let the results - not the effort - speak for themselves.

We Work On Time, On Budget, On Quality

Discipline is our edge - a commitment we make to each other, to our clients, and to the standards we hold ourselves to.

We Care Deeply.

We care about our work and about each other. Care Is A Competitive Advantage.

Every detail matters. Every design, every line of code, every decision. Thoughtful by default.

We Do Things Right -Because Its the Right Thing to Do

Right over easy. Integrity isnt up for negotiation. We hold the bar high even when no ones watching. We take pride in doing great work the right way - not the easy way.

We Keep Improving

The best teams keep improving and were never done learning.

We iterate. We reflect on whats working and whats not. Feedback fuels us, we receive it openly, and adapt quickly. Progress over perfection.

Were Obsessed With Agility, Not The Agile Manifesto

We dont chase dogma or rituals - we chase momentum. We adapt processes to fit problems, not the other way around.

We Take Ownership

Everyone leads something here. You will have room to run with ideas, and the trust to execute. That trust is built on how you show up: thinking things through, sweating the details, and following through.

As a Senior .NET Developer at Lateral, you will:

• Design and build scalable, resilient cloud applications on Azure using C#, .NET and SQL, delivering solutions that are secure, high-performance, adhere to our Coding Standards and just work.

• Write clean, clear, and well-tested code, embracing software craftsmanship principles to produce robust, reusable and maintainable systems. You will ensure a high bar for code quality through comprehensive unit tests and attention to detail.

• Take ownership of features end-to-end , from initial concept through deployment. Youll often drive substantial product features as the key developer alongside an architect or product designer.

• Mentor and support junior engineers , leading by example in code reviews and pair programming. You will offer constructive feedback that helps others grow, fostering a thoughtful, kind, and continuously learning team culture.

• Provide technical leadership in architecture and design discussions, advocating for simple, elegant solutions. Youll challenge unnecessary complexity and focus on pragmatic results.

• Continuously improve the codebase through refactoring and refinement, balancing new feature development with paying down technical debt. Youll adopt an iterative approach of tweaking and constantly improving the software to keep the system simple, stable, and adaptable.

• Champion quality , reliability and scalability by implementing best practices in cloud operations (monitoring, security, CI/CD).

Example Projects You May Join:

• Build an AI-powered healthcare platform to help detect diseases earlier.

• Launch a new fintech product from the ground up.

• Scale a global SaaS commerce system with millions of products

Whatever the challenge, youll be building software that changes lives and moves industries forward.

How We Measure Success In This Role

In the first two weeks

• You make your first meaningful contribution to the project

• You communicate well async as well as in meetings

In the first 3 months:

• You understand the system architecture well and can work independently or in teams on medium-sized features.

• You design before you code (and produce design artifacts)

• You have shipped code in Production, clean, tested

• You communicate clearly, raising issues early and contributing to reviews.

• You deliver what you commit to.

After 3 months:

• You take ownership of larger features and improvements from start to finish.

• You help others by sharing knowledge, spotting problems early, and improving processes or tooling.

• You make decisions with both the codebase and business goals in mind.

We measure success through:

• Evaluating results (what youve shipped)

• Quality and reliability of your code.

• Consistency in delivery.

• Feedback from peers and leads.

• Your ability to work independently and unblock others.

We are seeking for team members who are both highly technical and deeply care about their craft and how the work gets done. You must bring:

• 7+ years experience in software development

• Deep expertise inC# and the.NET ecosystem, including: NET Core, Core and .NET 6 or later.

• Strong proficiency withEntity Framework Core and MS SQL Server .

• Solid understanding of Object-Oriented Programming(OOP), Service-Oriented Architecture (SOA), SOLID principles.

• Experience with to cloud-native anddistributed systems , ideally including: Azure Service Fabric, Azure Functions, Service Bus, Redis, Azure Storage, Application Insights.

• Proven experience building robust, well-structuredAPIs.

• Aquality mindset : unit tests, integration tests, automation, defensive programming.

• Excellentproblem-solving and debugging skills with a hands-on,proactive attitude.

• Ability toDesign before you codeexpress decisions through clear diagrams, validate assumptions early, and think through edge cases and trade-offs.

• Ability to quickly understand the nature of the business and clearly communicate with stakeholders (clients, colleagues).

• Strongwritten and verbal communication skills in English.

• A commitment tomaking a difference ,continuous learning , andcollaboration

Bonus points for:

• Experience with Large scale systems or datasets, Performance

• Graph Technologies

• Clarity in communication and design documentation.

Extra bonus points for:

• Experience building Infrastructure

• Real Impact: Youll work on meaningful products that make a measurable difference - from healthcare and commerce to sustainability and next-gen tech.

• Remote-First, Office Friendly: Work from wherever youre most productive - whether thats your home, a co-working space, or one of our offices. Were a remote-first company, but if youre near an office, youre welcome to drop in, collaborate in person, or work onsite regularly. We prioritize async collaboration, respect your time zone, and focus on outcomes over hours.

• An Outstanding Team: Talented, kind, and hard-working people who care deeply about their craft - and about each other. No egos. No politics. Just professionals doing their best work.

• Growth: Youll be supported in growing your craft, exploring new paths, and stepping into greater responsibility -at your own pace.

• A Culture of Excellence: We care deeply about doing the right thing -for our clients, our team, and ourselves. No burnout. No crunch. Just high-quality work, delivered sustainably.

• Variety & Stability: Were profitable, independent, and over a decade strong. Yet every project brings a fresh challenge. Youll never be bored here.

We want to respect your time by being clear about what this role isnt. You should skip this opportunity if:

• You prefer well defined structure. If you gravitate towards a clear hierarchy, well defined roles and swim lanes, you may find our self-managed style challenging.

• Distributed work isnt your thing. If you find async communication, design documentation and being proactive without a manager nearby difficult, our setup wont suit you.

• Feedback doesn't excite you. Were obsessed with quality and believe in continuous improvement. That means we give feedback thats sometimes nitpicky. If refining the work until its excellent feels over the top, you are likely going to find working here frustrating.

• Change makes you uncomfortable. Were scaling and maturing. That means not everything is perfect yet. Priorities shift. Processes evolve. If ambiguity is uncomfortable, this may feel bumpy.

However, If this sounds like fuel, wed love to talk!

Our hiring process is structured as a sequence of steps. Moving forward is based on how well the previous step goes. This helps us stay focused, fair, and respectful of everyones time.

We will always:

• Let you know clearly what the next step is

• Share updates and feedback wherever possible

• Invite questions if anything feels unclear

Not everyone progresses through every stage. That doesnt mean youre not great at what you do. Sometimes its about timing, team fit, or simply what were looking for at the moment.

If this sounds like your kind of team and youre ready to bring your craft to Lateral, we want to hear from you.

Please send us:

• Yourresume

• Ashort note about what excites you about this role

• Links to your work : GitHub/ Code snippets, portfolio, architecture /design docs, blog posts, oranything that shows us how you think and build

Please dont include anything sensitive or proprietary. If youre sharing team projects, let us know what your specific contributions were.

We review every application with care. If theres a fit, well reach out to schedule next steps.

Purpose: A structured discussion with our People Experience team to delve into your career trajectory, motivations, and alignment with Lateral's values.

What to Expect:

• In-depth questions about your past experiences and decision-making processes.

• Exploration of your career goals and how they align with the role.

• Discussion about our company culture, availability, compensation and other logistics

• Motivators and demotivators.

• Your life outside coding.

Preparation Tips:

• Reflect on your career journey and pivotal moments.

• Be ready to discuss challenges you've overcome and lessons learned.

• Familiarize yourself with the Job Description, Lateral's mission and values.

Purpose: Assess your technical proficiency and problem-solving abilities.
Format: A collaborative session with our engineering team, focusing on real-world scenarios relevant to the role.

What to Expect:

• Problem-solving exercises/questions that mirror tasks you'd encounter in the position.

• Discussions around your approach, reasoning, and solutions.

Preparation Tips:

• Practice articulating your thought process clearly and concisely.

• Be prepared to discuss in depth past projects and the technologies used.

Purpose: Provide a practical demonstration of your skills through a task resembling real work at Lateral.

Format: A paid take-home assignment or a live session, depending on the role.

What to Expect:

• Tasks designed to reflect actual challenges faced in the position.

• An opportunity to showcase your problem-solving and technical skills.

Preparation Tips:

• Set aside uninterrupted time to focus.

• Explain your decisions and assumptions.

Purpose: Understand your approach to prioritizing, collaborating, shipping, and iterating.

What to expect:

• How you prioritize and break down work.

• How you collaborate across disciplines.

• How you handle blockers, feedback, and iteration.

Preparation Tips:

• Pick 1-2 meaningful projects you led or heavily contributed to.

• Walk through your process: what worked, what didnt, what youd do differently.

• Think about how you manage time, scope, and changing requirements.

Purpose: We believe references are about understanding, not just validation. We do not look for perfection, but to understand patterns, strengths, and context. We use them to learn how to support you best.

What to Expect: well ask you for 23 people whove worked closely with you. These are often: former managers, senior peers or collaborators, mentors or people you've mentored.

What we ask: We focus on how youve grown, where you shine, how you like to be led, and what support sets you up for success. We want practical advice for making this a great fit for you.

Yes, we do backchannels too: We do this when we feel we need more context . We will check with you if there are folks we should avoid reaching out due to confidentiality or other reasons. And heres our commitment: if anything surprising or unclear comes up in a backchannel, well bring it directly to you. We believe in no stories without you in the room . Youll always get the chance to share your side, context, or clarification.

What Happens: If selected, you'll receive a comprehensive offer detailing compensation, and other pertinent information.

Our hiring process is designed to be thorough yet respectful, ensuring a mutual fit. We encourage candidates to engage actively, ask questions, and view this as a two-way exploration.

Join us and lets build something extraordinary.