software engineer

full stack software engineer Jobs in San Francisco

full stack software engineer

software engineer / backend developer (junior / senior) Jobs in San Francisco

software engineer / backend developer (junior / senior)

software engineer i, frontend Jobs in San Francisco

software engineer i, frontend

software engineer ii Jobs in San Francisco

software engineer ii

junior software engineer

Mercor

<div>
 
 1. Role Overview
 
 
 
 Mercor is partnering with a leading AI research group to enhance the performance and reliability of code generation and reasoning models. We&rsquo;re seeking experienced software engineers with a strong foundation in backend systems, documentation standards, and real-world programming constraints. This project centers on evaluating and improving AI-generated technical content &mdash; including API guides, code snippets, and documentation. This is a short-term, high-impact opportunity ideal for engineers who value clarity, correctness, and practical problem-solving.
 
 
 
 2. Key Responsibilities
 
 
 
 <ul>
 <li>
 Review and validate AI-generated API documentation, guides, and design notes
 </li>
 <li>
 Identify edge cases, implementation gaps, and inaccuracies in technical outputs
 </li>
 <li>
 Suggest or write improved code snippets and documentation content
 </li>
 <li>
 Assess model responses for correctness, clarity, and utility in real-world development
 </li>
 <li>
 Provide structured feedback on input validation and error handling logic
 
 
 
 </li>
 </ul>
 
 3. Ideal Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience as a software engineer with a focus on backend or systems work
 </li>
 <li>
 Proficiency in at least one major programming language (e.g., Python, Go, Java)
 </li>
 <li>
 Prior experience writing or maintaining technical documentation or API guides
 </li>
 <li>
 Strong understanding of input validation, defensive programming, and software design patterns
 </li>
 <li>
 Excellent written communication and analytical skills
 
 
 
 </li>
 </ul>
 
 4. More About the Opportunity
 
 
 
 <ul>
 <li>
 Remote and asynchronous &mdash; set your own schedule
 </li>
 <li>
 Expected commitment: :10&ndash;20 hours/week
 </li>
 <li>
 Short-term contract engagement, with potential for follow-on work
 </li>
 <li>
 Tools and templates provided for structured contributions
 
 
 
 </li>
 </ul>
 
 5. Compensation &amp; Contract Terms
 
 
 
 <ul>
 <li>
 $80/hour
 </li>
 <li>
 U.S.-based
 </li>
 <li>
 Payments issued weekly via Stripe Connect
 </li>
 <li>
 You&rsquo;ll be classified as an independent contractor
 
 
 
 </li>
 </ul>
 
 6. Application Process
 
 
 
 <ul>
 <li>
 Submit your resume to get started
 </li>
 <li>
 You&rsquo;ll then complete a short form to showcase your technical expertise
 </li>
 <li>
 If there&rsquo;s a good fit, we&rsquo;ll follow up within a few business days
 
 
 
 </li>
 </ul>
 
 7. About Mercor
 
 
 
 <ul>
 <li>
 Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
 </li>
 <li>
 Our investors include Benchmark, General Catalyst, Adam D&rsquo;Angelo, Larry Summers, and Jack Dorsey
 </li>
 <li>
 Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI
 </li>
 </ul>
</div>

Software Engineer / Backend Developer (Junior / Senior)

OpenAI

<div>
 
 About The Team
 
 
 
 The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways&mdash;especially for youth and families.
 
 
 We work across OpenAI&rsquo;s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility.
 
 
 This work is core to OpenAI&rsquo;s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You&rsquo;ll help define how teens and guardians engage with OpenAI products&mdash;ensuring those experiences are safe, compliant, and empowering.
 
 
 You&rsquo;ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You&rsquo;ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts.
 
 
 This is a high-impact, 0&rarr;1 opportunity to set the standard for how families interact with generative AI.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT.
 </li>
 <li>
 Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs.
 </li>
 <li>
 Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale.
 </li>
 <li>
 Help define safety and well-being metrics, and continuously improve user trust through technical interventions.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology.
 </li>
 <li>
 Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale.
 </li>
 <li>
 Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development.
 </li>
 <li>
 Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions.
 </li>
 <li>
 Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Software Engineer, Youth Well-Being

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As an Early Career Software Engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We&rsquo;re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that best aligns with your interests and where you can make the highest impact.
 
 
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Plan, build, and ship product features from conception to launch, then iterate based on insights and user feedback.
 </li>
 <li>
 Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
 </li>
 <li>
 Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
 </li>
 <li>
 Build internal tools and platform improvements that help all engineers ship quickly and safely.
 </li>
 <li>
 Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
 
 
 </li>
 </ul>
 Areas you might work on
 
 
 <ul>
 <li>
 Core Notion product features: Help develop, improve, and maintain features for our flagship product, focusing on the editor, databases, sharing, or other key areas that power millions of workflows.
 </li>
 <li>
 AI and automation: Help develop and integrate intelligent features that make Notion more powerful, contextual, and efficient for our users.
 </li>
 <li>
 Growth and activation: Work on features that help new users discover Notion's value, improve onboarding experiences, and increase user engagement.
 </li>
 <li>
 Platform and infrastructure: Contribute to the systems that power Notion's backend services, ensuring reliability, scalability, and performance as our user base grows.
 
 
 </li>
 </ul>
 Skills You&rsquo;ll Bring
 
 
 <ul>
 <li>
 Proven track record of execution: You have a minimum of 1 year (and up to 3 years) of full-time professional engineering experience, including building world-class product experiences as part of an engineering team. You have solid fundamentals in data structures, algorithms, and distributed systems, with a product-minded, pragmatic approach to solving problems.
 </li>
 <li>
 Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
 </li>
 <li>
 Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with parts of our stack like React, TypeScript, Node.js, Postgres, or with experimentation and analytics tooling.
 </li>
 <li>
 Exposure to distributed systems, observability, CI/CD, or infrastructure fundamentals.
 </li>
 <li>
 An interest in product quality and craft, and in helping others stay in flow.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $126,000 - $180,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy and NYLL 144.
 
 
</div>

Software Engineer, Fullstack, Early Career

Stripe

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world&rsquo;s largest enterprises to the most ambitious startups&mdash;use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone&rsquo;s reach while doing the most important work of your career.
 
 
 
 About The Team
 
 
 
 Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability&mdash;from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough.
 
 
 What you&rsquo;ll do
 
 
 As a company, we believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work on cross-functional projects, directly collaborating with other engineers
 </li>
 <li>
 Give meaningful feedback on code reviews and technical designs
 </li>
 <li>
 Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
 </li>
 <li>
 Build the skills to own a project from beginning to end, learning project management and technical leadership skills
 
 
 
 </li>
 </ul>
 Who you are
 
 
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience
 </li>
 <li>
 Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
 </li>
 <li>
 Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
 </li>
 <li>
 Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
 </li>
 <li>
 Experience in code review practices, and an understanding of how to safely update production systems
 </li>
 <li>
 Familiarity with navigating and managing work in large code bases
 
 
 
 </li>
 </ul>
 In-office expectations
 
 
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 
 
 Pay and benefits
 
 
 The annual US base salary range for this role is $122,100 - $134,400. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 
 
 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
</div>

Software Engineer, New Grad

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 
 
 More than anything, we seek engineers with strong coding fundamentals and a track record of high quality engineering. We work in a highly collaborative environment, where most projects are owned by small groups of 2-3 people. We strive to foster a positive, inclusive culture - you can read more about our engineering values on our blog.
 
 
 This role will be based out of our San Francisco or New York hub.
 
 
 
 What you'll do at Figma:
 
 
 
 
 In 30 days, you will&hellip;
 
 
 
 <ul>
 <li>
 Be paired with an onboarding buddy on your team who will help you ramp in our codebase and get to know Figma. You&rsquo;ll move from starter tasks meant to familiarize you with our workflows, to joining your teammates on larger projects
 </li>
 <li>
 Understand how we operate as a business through our comprehensive onboarding program, Figma Today
 </li>
 <li>
 Get to know your Figmates across the company!
 
 
 </li>
 </ul>
 
 In 60 days, you will&hellip;
 
 
 
 <ul>
 <li>
 Work closely with teammates and partners in Product, Design, Marketing, User Research, and Data Science to build new features and achieve roadmap goals. We prioritize collaboration and cross-functional partnerships, so you won&rsquo;t operate in silos
 </li>
 <li>
 Craft performance objectives with your manager that align to company priorities and career development opportunities
 </li>
 <li>
 Help grow Figma by interviewing candidates for teams across the Engineering organization
 
 
 </li>
 </ul>
 
 We'd love to hear from you if you have:
 
 
 
 <ul>
 <li>
 Solid technical knowledge of CS fundamentals and data structures
 </li>
 <li>
 Have experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.)
 </li>
 <li>
 Have worked on projects through school, work, or personal exploration that required solving technical problems
 </li>
 <li>
 Are excited to explore how systems are designed and operate, from infrastructure to UI
 </li>
 <li>
 Communicate well, ask great questions, and enjoy collaborating with others
 </li>
 <li>
 A growth mindset with an eagerness to learn and contribute not only to your engineering team, but the entire organization
 
 
 </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 
 
 <ul>
 <li>
 Comfort with Figma products
 
 
 </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Pay Transparency Disclosure
 
 
 
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 
 
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 
 
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 
 
 Annual Base Salary Range (SF/NY Hub):
 
 
 $155,000&mdash;$155,000 USD
 
 
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 
 ,
 
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 
 
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 
 
 Examples of accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Holding interviews in an accessible location
 </li>
 <li>
 Enabling closed captioning on video conferencing
 </li>
 <li>
 Ensuring all written communication be compatible with screen readers
 </li>
 <li>
 Changing the mode or format of interviews
 
 
 </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 
 
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
 
 
</div>

Early Career, Software Engineer (2026)

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities:

Responsibilities 
As a Senior Data Engineer in the Corporate Data Engineering team, you will have the opportunity to apply your strong technical experience building highly reliable data products. You enjoy working in an agile environment. You are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases. 
On a typical day you will help our partner teams ingest data faster into our data lake, you&rsquo;ll find ways to make our data products more efficient, or come up with ideas to help build self-serve data engineering within the company. Then you will build architect , design, and promote self serve capabilities at scale to help Atlassian grow.
Qualifications 
On your first day, we'll expect you to have:<ul><li>
At least 7+ years of professional experience as a software engineer or data engineer</li><li>
A BS in Computer Science or equivalent experience</li><li>
Strong programming skills (some combination of Python, Java, and Scala)</li><li>
Experience writing SQL, structuring data, and data storage practices</li><li>
Experience with data modeling</li><li>
Knowledge of data warehousing concepts</li><li>
Experienced building data pipelines and micro services</li><li>
Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data</li><li>
A willingness to accept failure, learn and try again</li><li>
An open mind to try solutions that may seem impossible at first</li><li>
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li></ul>
It's preferred, but not technically required, that you have:<ul><li>
Experience building self-service tooling and platforms</li><li>
Built and designed Kappa architecture platforms</li><li>
A passion for building and running continuous integration pipelines.</li><li>
Built pipelines using Databricks and well versed with their API&rsquo;s</li><li>
Contributed to open source projects (Ex: Operators in Airflow)</li></ul>
Qualifications:

Qualifications 
On your first day, we'll expect you to have:<ul><li>
At least 7+ years of professional experience as a software engineer or data engineer</li><li>
A BS in Computer Science or equivalent experience</li><li>
Strong programming skills (some combination of Python, Java, and Scala)</li><li>
Experience writing SQL, structuring data, and data storage practices</li><li>
Experience with data modeling</li><li>
Knowledge of data warehousing concepts</li><li>
Experienced building data pipelines and micro services</li><li>
Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data</li><li>
A willingness to accept failure, learn and try again</li><li>
An open mind to try solutions that may seem impossible at first</li><li>
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li></ul>
It's preferred, but not technically required, that you have:<ul><li>
Experience building self-service tooling and platforms</li><li>
Built and designed Kappa architecture platforms</li><li>
A passion for building and running continuous integration pipelines.</li><li>
Built pipelines using Databricks and well versed with their API&rsquo;s</li><li>
Contributed to open source projects (Ex: Operators in Airflow)</li></ul>
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $175,500 - $229,125
Zone B: $158,400 - $206,800
Zone C: $145,800 - $190,350
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Sr Data Engineer

Delty (YC X25)

<div>
 
 About Us
 
 
 
 
 Delty is building the world&rsquo;s first &ldquo;AI Staff Engineer.&rdquo;
 
 Unlike typical code-generation tools, Delty is trained on a team&rsquo;s codebase, documentation, and system history &mdash; giving it a system-level understanding of architecture, conventions, and constraints. Delty helps engineering teams design enterprise-scale software systems, make architectural decisions, and enable AI coding agents to work with real system context.
 
 
 Delty was founded by former engineering leaders from
 
 Google, including co-founders with deep experience at YouTube and in large-scale infrastructure
 
 . You&rsquo;ll get to work alongside people who built massive systems at scale &mdash; a chance to learn a
 
 lot
 
 and contribute meaningfully from day one.
 
 
 We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.
 
 
 What You&rsquo;ll Do
 
 
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 Work full-stack: design and build features spanning front-end, back-end, data storage and processing.
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 Build new product modules and services from scratch &mdash; or evolve existing ones &mdash; guided by context-aware system design.
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 Work with AI and machine learning: integrate large-language models (LLMs), process large or long-form text data, apply traditional ML (e.g. regression, data pipelines), and build tooling around AI-driven flows.
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 Make architectural decisions &mdash; choose frameworks, data models, APIs, storage solutions &mdash; balancing trade-offs between performance, scalability, maintainability, and complexity.
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 Collaborate closely with co-founders and other engineers to translate product vision into a working, maintainable codebase.
 
 
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 </ul>
 What We&rsquo;re Looking For
 
 
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 <li>
 At least 3 years of full-stack engineering experience, including substantial work with AI/ML.
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 Strong skills across front-end, back-end, databases/data storage &mdash; and demonstrated ability to design end-to-end systems.
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 Experience working with or integrating AI/ML &mdash; LLMs, data pipelines, long-form text processing, traditional ML like regression or statistical modeling.
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 Good design sense and architectural thinking: you understand trade-offs (scalability vs complexity, speed vs maintainability) and can choose wisely based on constraints.
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 Comfort working in a fast-paced startup-style environment: nimble, iterative, high ownership.
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 Bonus: prior startup experience, or even having been a founder &mdash; we value entrepreneurial thinking, self-direction, and willingness to wear multiple hats.
 
 
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 </ul>
 Why join
 
 
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 Learn from seasoned Google engineers: As former Google engineers who built systems at YouTube and Google Pay, we&rsquo;ve operated at massive scale. Working alongside us gives you a chance to build similar systems and learn best practices, scale thinking, and software design deeply.
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 High impact: At a small but ambitious team, your contributions will influence architecture, product direction, and core features. You will have real ownership and see the effects of your work quickly.
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 Grow fast: We&rsquo;re iterating rapidly; you&rsquo;ll be exposed to the full stack, AI/ML pipelines, system architecture, data modeling, and product-level decisions &mdash; a fast-track to becoming a senior engineer or technical lead.
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 Challenging and meaningful work: We&rsquo;re tackling the hardest part of software engineering: bridging AI-generated prototypes and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations &mdash; this is for you.
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 </ul>
</div>

Full stack software engineer

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