software engineer

software engineer ii Jobs in San Francisco

software engineer ii

full stack software engineer Jobs in San Francisco

full stack software engineer

senior database reliability engineer Jobs in San Francisco

senior database reliability engineer

software engineer (product) Jobs in San Francisco

software engineer (product)

software engineer datastore

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
 
 
 
 Datastore infrastructure is the backbone of any software product, and at Notion, it plays a critical role in ensuring our millions of users have a fast, reliable, and secure experience. Our Datastore Infra Team builds and maintains the systems that power the databases and caches behind every Notion feature. From scaling our relational and NoSQL databases to designing data migration frameworks, we ensure that Notion&rsquo;s data layer remains robust and future-proof.
 
 
 As part of the Datastore Infra Team, you&rsquo;ll have a unique opportunity to shape how Notion manages and scales its foundational data services, enabling innovation across the company. This role is based out of our New York City or San Francisco office.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You will drive the evolution of our datastore infrastructure to meet the needs of over 100 million global users and support the rapid growth of our product and business. This includes ensuring our systems are reliable, efficient, and scalable, while evaluating and integrating new technologies to keep us ahead of emerging challenges. Your work will empower our engineers to build features with confidence, backed by a strong datastore foundation.
 </li>
 <li>
 You will design and deliver a Datastore Platform that simplifies how teams manage and interact with data at scale. From flexible schema management to migrating hundreds of billions of records, you&rsquo;ll develop tools and frameworks that make it easier for engineers to innovate while maintaining safety, efficiency, and performance.
 </li>
 <li>
 You will develop the skills and confidence to debug live production systems with minimal disruption, whether replacing components or managing failovers. You will participate in an on-call rotation, responding to incidents to uphold service reliability and quickly restore normal operations.
 </li>
 <li>
 You will partner with product engineers and other infra teams to ensure our datastore infrastructure aligns with evolving business needs and product goals
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Familiarity with Datastore Systems: You have experience with large scale relational databases, distributed caches, and NoSQL systems. You understand how to design, scale, and optimize them to support growing business needs. Our team utilizes cloud-based datastore solutions like AWS RDS, DynamoDB, and ElastiCache to power our infrastructure.
 </li>
 <li>
 Systems thinker: You understand distributed systems and can design solutions that account for tradeoffs like consistency, latency, and scalability.
 </li>
 <li>
 Pragmatic problem-solver: You prioritize business impact and understand the balance between craft, speed, and long-term maintainability. You&rsquo;re opinionated but not ideological, and you learn new technologies as you go.
 </li>
 <li>
 Ownership and initiative: You thrive in a fast-moving, unstructured environment and are comfortable taking ownership of ambiguous problems. You act with a bias toward action and focus on results.
 </li>
 <li>
 Customer Empathy: You excel at collaborating across teams, offering guidance and solutions to unblock engineers and support them in building reliable systems. With empathy at the core of your approach, you focus on addressing the needs of those who depend on datastore infrastructure.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 Experience with change data capture tools like Debezium for real-time data replication and migrations.
 </li>
 <li>
 Experience working closely with application developers, understanding their workflows, and building datastore solutions that address their challenges, such as schema changes, performance, and data access patterns.
 
 
 </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 made 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. and New York, the estimated base salary range for this role is $130,000 - $240,000 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, Datastore

Astranis

<div><div>Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe&mdash; large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. 
 
Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.</div><div>
<h2 class="jobSectionHeader">
Software Engineer - Backend</h2>

As a Software Engineer on the Platform team, you'll design and build services that autonomously control satellites, monitor telemetry for anomalies, and provide real-time situational awareness to keep our fleet safe and online. You'll also be building the core components and services that power the rest of our software organization, enabling every team to move faster and more reliably.

You will be shaping the foundation of software that has to work flawlessly &ndash; because our satellites depend on it.

This role will contribute to both our commercial and US government programs.
<h3 class="jobSectionHeader">
Role</h3>
<ul><li>Design and build high-performance, reliable, mission-critical software that is used to send commands to space</li>
<li>Take full ownership of features, working across backend and infrastructure</li>
<li>Collaborate with multidisciplinary teams to define software requirements, architectures, and designs</li>
<li>Continuously assess the evolving tech landscape and advocate for innovations that will improve our system</li>
<li>Mentor teammates, share knowledge, and help raise the technical bar</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>0-5 years of professional experience as a software engineer</li>
<li>Bachelor's degree in Computer Science or related technical field</li>
<li>Strong proficiency in Python</li>
<li>Experience with distributed systems and microservice architectures</li>
<li>Experience and understanding of databases (Postgres, etc)</li>
<li>Experience and understanding of pub/sub and streaming systems (RabbitMQ, Flink, etc)</li>
<li>Track record of delivering high-impact features and improvements in a collaborative environment</li>
</ul><h3 class="jobSectionHeader">Bonus</h3>
<ul><li>Experience with Kubernetes</li>
<li>Experience introducing metrics and monitoring to increase system stability</li>
<li>Proficiency in C++, Go, Rust</li>
<li>Experience building fleet management systems</li>
</ul></div><div><div>U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required</div>
<div>(To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))</div>
<div></div>
<div>Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.</div></div></div>

Software Engineer - Backend, Platform

Mercor

<div>
 
 Mercor is hiring experienced Python Engineers
 
 to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains.
 
 
 This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories
 </li>
 <li>
 Ensure benchmark tasks include comprehensive unit and integration tests for solution verification
 </li>
 <li>
 Maintain consistency and scalability of benchmark task distribution
 </li>
 <li>
 Provide structured feedback on solution quality and clarity
 </li>
 <li>
 Debug, optimize, and document benchmark code for reliability and reproducibility
 
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;10 years of experience as a backend software engineer, ML engineer, or applied data scientist
 </li>
 <li>
 Degree in Software Engineering, Computer Science, or a related field
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Experience with debugging, testing, and validating code
 </li>
 <li>
 Comfortable with technical writing and attention to detail
 
 
 
 </li>
 </ul>
 
 Project Timeline
 
 
 
 <ul>
 <li>
 Start Date: Immediate
 </li>
 <li>
 Duration: 1 month
 </li>
 <li>
 Commitment: Part-time (15&ndash;20 hours/week)
 </li>
 <li>
 Schedule: Fully remote and asynchronous &ndash; flexible working hours
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Contract
 
 
 
 <ul>
 <li>
 $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete)
 </li>
 <ul>
 <li>
 Median average pay inclusive of bonuses is $200/hr
 
 </li>
 </ul>
 <li>
 Independent contractor
 </li>
 <li>
 Daily payment via Stripe Connect
 
 
 </li>
 </ul>
 
 Application &amp; Onboarding Process
 
 
 
 <ul>
 <li>
 Upload your resume
 </li>
 <li>
 AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 Brief assessment testing real-world coding ability, technical depth, and debugging approach
 </li>
 <li>
 Follow-up communication within a few days with next steps and onboarding details
 </li>
 <li>
 About Mercor **Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D&rsquo;Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI.
 
 
 
 </li>
 </ul>
 
 Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!
 
</div>

Backend Software Engineer: Python

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
 
 
 <ul>
 <li>
 Work full-stack: design and build features spanning front-end, back-end, data storage and processing.
 </li>
 <li>
 Build new product modules and services from scratch &mdash; or evolve existing ones &mdash; guided by context-aware system design.
 </li>
 <li>
 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.
 </li>
 <li>
 Make architectural decisions &mdash; choose frameworks, data models, APIs, storage solutions &mdash; balancing trade-offs between performance, scalability, maintainability, and complexity.
 </li>
 <li>
 Collaborate closely with co-founders and other engineers to translate product vision into a working, maintainable codebase.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 At least 3 years of full-stack engineering experience, including substantial work with AI/ML.
 </li>
 <li>
 Strong skills across front-end, back-end, databases/data storage &mdash; and demonstrated ability to design end-to-end systems.
 </li>
 <li>
 Experience working with or integrating AI/ML &mdash; LLMs, data pipelines, long-form text processing, traditional ML like regression or statistical modeling.
 </li>
 <li>
 Good design sense and architectural thinking: you understand trade-offs (scalability vs complexity, speed vs maintainability) and can choose wisely based on constraints.
 </li>
 <li>
 Comfort working in a fast-paced startup-style environment: nimble, iterative, high ownership.
 </li>
 <li>
 Bonus: prior startup experience, or even having been a founder &mdash; we value entrepreneurial thinking, self-direction, and willingness to wear multiple hats.
 
 
 </li>
 </ul>
 Why join
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 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.
 </li>
 <li>
 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.
 </li>
 <li>
 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.
 </li>
 </ul>
</div>

Full stack software engineer

<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)

<div><h3 class="jobSectionHeader">Who are we?</h3>
Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We&rsquo;re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore. This will be a hybrid role where we expect employees to work from office three days a week.<h3 class="jobSectionHeader">
Who are you?</h3>
We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.<h3 class="jobSectionHeader">
You will:</h3><ul><li>
Develop and maintain enterprise software applications, including API, data, application, and service development</li><li>
Write clean, efficient, and maintainable code by employing a test-driven development process.</li><li>
Build scalable and reliable back-end systems using languages like Go and Python</li><li>
Develop and maintain APIs using REST and gRPC</li><li>
Build and maintain scalable and extensible data schemas using PostgreSQL, Clickhouse, etc.</li><li>
Contribute to front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular</li><li>
Ensure that applications are secure and adhere to industry best practices</li><li>
Continuously improve software development processes and practices</li></ul><h3 class="jobSectionHeader">
Ideally, you'd have:</h3><ul><li>
Bachelor's degree in Computer Science or related field.</li><li>
At least 4 years of relevant work experience.</li><li>
Solid background in algorithms, data structures, and object-oriented programming</li><li>
Experience in back-end development using languages like Python and Go</li><li>
Knowledge of database technologies like PostgreSQL, Elastic, Redis.</li><li>
Knowledge of designing and building API platforms and integration systems.</li><li>
Experience with cloud technologies like GCP, AWS and Azure</li><li>
Experience with containerization technologies like Docker and Kubernetes</li><li>
Experience with integrating multiple enterprise applications, including frameworks and authentication.</li><li>
Understanding of security best practices and protocols for enterprise software applications</li></ul><ul><li>
Experience deploying software in multi-tenant SaaS environments.</li><li>
Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or Angular</li></ul><ul><li>
Strong problem-solving skills and attention to detail</li><li>
Ability to work independently and as part of a team</li><li>
Experience working with global teams</li></ul>
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.</div>

Backend Engineer - Vancouver

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