{"info":{"_postman_id":"7f8bd226-7a09-45c1-8ee0-32ac5f362dad","name":"go-get-job","description":"

A backend project based on Golang and PostgreSQL that showcase CRUD operations using GraphQL. The application uses docker for containerization

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Company Description

Meta builds technologies that help people connect, find communities, and grow businesses. With apps like Facebook, Instagram, WhatsApp, and Threads, Meta is redefining how people around the world interact and share. Behind these products are teams of skilled engineers tackling some of the world's most complex and impactful technical challenges.

At Meta, we embrace a culture of curiosity, continuous learning, and bold innovation. Join us in building the future of social technologies.

Job Description

As a Full Stack Engineer at Meta, you will be responsible for designing, developing, and maintaining end-to-end features across the stack - from backend systems to frontend interfaces. You'll collaborate with product managers, designers, and engineers to create scalable, reliable, and user-centric web experiences across Meta's family of applications.

You will work on systems that support billions of users, using cutting-edge technologies to solve complex problems in performance, privacy, and infrastructure.

Responsibilities:

Design, build, and maintain full stack applications using modern frameworks such as React, Node.js, and GraphQL.
Implement backend services, APIs, and data models to support frontend experiences.
Optimize application performance, reliability, and scalability.
Collaborate cross-functionally with design, product, and data teams to define and deliver product features.
Participate in code reviews, testing, and continuous integration/deployment workflows.
Contribute to engineering best practices and mentor junior developers.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
2+ years of experience developing full stack web applications in a production environment.
Proficiency in JavaScript/TypeScript and frontend frameworks such as React or Next.js.
Experience with server-side technologies such as Node.js, Python, PHP, or Go.
Strong understanding of databases (SQL and NoSQL), data modeling, and REST/GraphQL APIs.
Knowledge of version control systems (e.g., Git) and CI/CD pipelines.

Preferred Qualifications

Experience working with large-scale distributed systems or cloud platforms (e.g., AWS, GCP).
Familiarity with Meta's technologies or open source projects (e.g., React, Relay, PyTorch).
Understanding of data privacy, security, and accessibility principles.

Additional Information

The base salary range for this role is $125,000 to $170,000 USD annually, with additional compensation through bonuses, equity, and comprehensive benefits including wellness programs, parental leave, and professional development resources.

Meta is proud to be an equal opportunity and affirmative action employer. We do not discriminate based on race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Learn more and apply at https://www.metacareers.com.

\",\n \"url\": \"https://facebook.com/careers\",\n \"company\": \"Meta\",\n \"experience\": \"5+\",\n \"job_type\": \"full_time\",\n \"location\": {\n \"city\": \"hyderabad\",\n \"country\": \"india\"\n }\n },\n {\n \"job_id\": 526621,\n \"title\": \"Frontend Engineer\",\n \"description\": \"

Company Description

Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn't have imagined - and now can't imagine living without. Our innovations in hardware, software, and services power everything we do, and we deeply value simplicity, quality, and user experience.

Join us and help us leave the world better than we found it.

Job Description

As a Frontend Engineer at Apple, you will work on cutting-edge web applications that support Apple's ecosystem and customer experiences. You'll be responsible for crafting seamless, high-performance, and accessible user interfaces, partnering closely with designers and backend engineers to bring designs to life with precision and elegance.

This role requires a passion for innovation, pixel-perfect UI implementation, and deep understanding of frontend technologies and architecture.

Responsibilities:

Develop responsive, high-quality web applications using modern JavaScript frameworks such as React, Vue, or Angular.
Collaborate with design, backend, and product teams to deliver intuitive and performant user experiences.
Translate complex design and interaction requirements into clean, maintainable code.
Optimize applications for maximum speed, scalability, and accessibility.
Implement analytics, performance tracking, and A/B testing mechanisms.
Contribute to frontend architecture and promote best practices across teams.

Qualifications

Bachelor's or Master's degree in Computer Science, Human-Computer Interaction, or a related field, or equivalent practical experience.
2+ years of experience in frontend development for web applications.
Proficient in HTML, CSS, JavaScript (ES6+), and modern UI frameworks such as React.js or Vue.js.
Strong understanding of RESTful APIs, asynchronous programming, and browser performance.
Familiarity with Git, CI/CD workflows, and frontend testing tools (Jest, Cypress, etc.).
Attention to detail and a keen eye for UI/UX design and usability.

Preferred Qualifications

Experience working on large-scale consumer-facing web applications.
Knowledge of accessibility standards (WCAG) and internationalization.
Familiarity with Apple's design guidelines and ecosystem is a plus.

Additional Information

The base salary range for this role is $110,000 to $150,000 USD per year, with eligibility for bonuses, stock options, and Apple's world-class benefits.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.

To learn more about working at Apple, visit https://www.apple.com/careers/.

\",\n \"url\": \"https://apple.com/careers\",\n \"company\": \"Apple\",\n \"experience\": \"1-3\",\n \"job_type\": \"contract\",\n \"location\": {\n \"city\": \"cupertino\",\n \"country\": \"united states (us)\"\n }\n },\n {\n \"job_id\": 494809,\n \"title\": \"AI Engineer\",\n \"description\": \"

Company Description

Netflix is the worlds leading streaming entertainment service with over 260 million paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. At Netflix, we push the boundaries of storytelling and technology, enabling content creators and engineers to deliver seamless and scalable user experiences worldwide.

Job Description

As an AI Engineer at Netflix, you will play a key role in developing and deploying machine learning models and intelligent systems that power personalized experiences, content recommendations, and business decision-making across the platform. Based in Mumbai, India, you will collaborate with cross-functional teams spanning product, engineering, and data science to build and optimize AI solutions at scale.

This role is ideal for an engineer with a strong foundation in machine learning and deep learning who thrives in a fast-paced, data-rich environment and is passionate about solving real-world problems using AI technologies.

Responsibilities:

Design, build, and deploy end-to-end machine learning models for recommendation systems, content understanding, and personalization.
Collaborate with product managers, data scientists, and engineers to define AI-driven features and improve user engagement.
Work with large-scale datasets to perform feature engineering, model training, evaluation, and optimization.
Leverage tools and frameworks like TensorFlow, PyTorch, and MLFlow to scale training and deployment pipelines.
Implement scalable APIs and services to serve machine learning models in production environments.
Monitor and maintain model performance post-deployment, including data drift analysis and retraining strategies.
Participate in code reviews, research discussions, and continuous learning initiatives within the AI/ML community at Netflix.

Qualifications

Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
3+ years of experience building and deploying machine learning or deep learning models in a production environment.
Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
Strong knowledge of algorithms, statistics, and data structures relevant to machine learning.
Experience working with large-scale datasets and distributed computing tools like Spark or Hadoop.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Understanding of model lifecycle management, A/B testing, and online experimentation.
Excellent communication skills and ability to work collaboratively in a team-oriented environment.

Preferred Qualifications

Experience with recommendation systems, natural language processing, or computer vision.
Knowledge of MLOps practices and model monitoring tools.
Contributions to open-source AI/ML projects or published research is a plus.

Additional Information

This is a full-time role based in Mumbai, India. Compensation will be competitive and is determined based on role level, skills, and experience. Netflix offers a unique culture that values freedom and responsibility, empowering employees to innovate boldly. Learn more about our culture at https://jobs.netflix.com/culture.

Netflix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

\",\n \"url\": \"https://netflix.com/in/jobs\",\n \"company\": \"Netflix\",\n \"experience\": \"3+\",\n \"job_type\": \"full_time\",\n \"location\": {\n \"city\": \"mumbai\",\n \"country\": \"india\"\n }\n },\n {\n \"job_id\": 458548,\n \"title\": \"ML Engineer\",\n \"description\": \"

Company Description

Google is a global leader in technology, known for its mission to organize the worlds information and make it universally accessible and useful. With innovations in search, cloud computing, advertising, and AI, Google serves billions of users around the world. At Google, we believe in using technology to solve the biggest challenges and improve everyday lives through cutting-edge machine learning and artificial intelligence.

Job Description

As a Machine Learning Engineer at Google Singapore, you will be part of a high-impact engineering team building intelligent systems that power products like Search, Google Assistant, YouTube, and Cloud AI. You will collaborate with researchers, software engineers, and product managers to design and deploy scalable ML solutions that operate at global scale and deliver exceptional user experiences.

This role is ideal for engineers with a strong background in machine learning and software development who are passionate about innovation, scalability, and responsible AI.

Responsibilities:

Design and implement scalable machine learning models and algorithms for real-world applications.
Work closely with cross-functional teams to understand product requirements and translate them into ML solutions.
Build and optimize data pipelines for training and inference at scale.
Deploy machine learning models to production and monitor their performance and accuracy.
Contribute to the development of internal tools and frameworks that streamline the ML lifecycle.
Ensure ethical and responsible AI practices are embedded in model development and deployment.
Stay updated with the latest advancements in machine learning research and apply them to solve business problems.

Qualifications

Bachelors or Masters degree in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.
0-1 years of experience building machine learning models and deploying them in production environments.
Proficiency in Python or Java and ML libraries such as TensorFlow, PyTorch, or JAX.
Experience working with structured and unstructured data at scale.
Strong software engineering skills and experience with version control, testing, and CI/CD.
Knowledge of cloud platforms such as Google Cloud Platform, AWS, or Azure.
Understanding of data privacy, model fairness, and interpretability principles.
Excellent problem-solving and communication skills.

Preferred Qualifications

Experience in large-scale machine learning systems or recommendation engines.
Publications in top-tier ML conferences or open-source contributions.
Experience with AutoML, federated learning, or model compression techniques.

Additional Information

This is a full-time position based in Singapore. Google offers competitive compensation, equity, and a comprehensive benefits package. At Google, we foster an inclusive and collaborative environment where innovation thrives. Learn more about working at Google at https://careers.google.com.

Google is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace for all employees.

\",\n \"url\": \"https://google.com/careers\",\n \"company\": \"Google\",\n \"experience\": \"0-1\",\n \"job_type\": \"full_time\",\n \"location\": {\n \"city\": \"one-north\",\n \"country\": \"singapore\"\n }\n },\n {\n \"job_id\": 701302,\n \"title\": \"Data Engineer\",\n \"description\": \"

Company Description

Microsoft is a global technology company that empowers every person and every organization on the planet to achieve more. With a strong presence in cloud computing, artificial intelligence, productivity software, and developer tools, Microsoft builds platforms and services that transform the way people live and work. Our teams innovate with purpose, aiming to build a more inclusive, secure, and sustainable world through technology.

Job Description

As a Data Engineer at Microsoft Singapore, you will be part of a dynamic and collaborative team working on the design, development, and optimization of data solutions that support business intelligence, analytics, and machine learning initiatives. This role offers a unique opportunity for early-career engineers to gain hands-on experience with modern data engineering tools and cloud technologies while contributing to impactful projects across various domains.

This role is ideal for recent graduates or early-career professionals who are passionate about data, eager to learn, and excited to grow within a supportive, fast-paced environment.

Responsibilities:

Design and build reliable and scalable data pipelines using tools such as Azure Data Factory, Databricks, or Apache Spark.
Ingest, transform, and organize large volumes of structured and unstructured data for analytics and reporting.
Collaborate with data scientists, analysts, and software engineers to understand data needs and deliver high-quality datasets.
Implement data validation, quality checks, and performance optimization across the data stack.
Develop and maintain documentation for data pipelines, processes, and schemas.
Participate in agile development practices including sprint planning, code reviews, and peer learning sessions.

Qualifications

Bachelors degree in Computer Science, Data Engineering, Information Systems, or a related field.
0 to 1 year of experience in data engineering, software development, or related internship/project experience.
Proficiency in SQL and basic understanding of scripting languages such as Python or Scala.
Familiarity with data modeling, ETL processes, and relational or NoSQL databases.
Exposure to cloud platforms such as Microsoft Azure, AWS, or GCP is a plus.
Strong problem-solving skills and eagerness to learn new technologies.
Excellent communication skills and ability to work in a team environment.

Preferred Qualifications

Coursework or project experience with big data technologies such as Spark, Hadoop, or Kafka.
Familiarity with Azure Synapse, Power BI, or other modern analytics platforms.
Participation in data engineering competitions, research, or open-source contributions is a plus.

Additional Information

This is a full-time early career position based in Singapore. Microsoft offers a competitive salary, benefits, and career development opportunities. Our inclusive culture encourages innovation, collaboration, and personal growth. Learn more about our mission and values at https://careers.microsoft.com.

Microsoft is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Company Description

Atlassian unleashes the potential of every team. Our collaboration and productivity software helps teams organize, discuss, and complete shared work. Millions of users across small businesses, startups, and large enterprises-including teams at NASA, Twitter, and Deloitte-rely on our products like Jira, Confluence, Bitbucket, and Trello to accelerate innovation and drive business success.

We're a distributed-first company, meaning you can work from almost anywhere. At Atlassian, you'll join a team that values openness, autonomy, and continuous learning, while solving meaningful technical challenges with global impact.

Job Description

As a Backend Engineer at Atlassian, you will be a key contributor to the design, development, and optimization of backend systems that scale to serve millions of users. You'll work in an agile environment, closely collaborating with cross-functional teams to build and ship high-quality features and services for our cloud-based products.

If you are passionate about performance, reliability, clean architecture, and delivering value through code, this role is for you.

Responsibilities:

Design and implement backend components and services using modern languages and frameworks (Java, Kotlin, Spring Boot, etc.).
Write clean, scalable, and well-tested code that meets business and technical requirements.
Contribute to system architecture discussions and decisions.
Collaborate with frontend developers, designers, and product managers to define APIs and deliver seamless user experiences.
Monitor, maintain, and improve performance and reliability of production systems.
Participate in code reviews, testing, and deployment pipelines in a CI/CD environment.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
2+ years of professional experience in backend software development.
Proficiency in one or more server-side languages such as Java, Kotlin, or Node.js.
Experience with relational and NoSQL databases (e.g., PostgreSQL, DynamoDB, Redis).
Understanding of cloud-native architecture and familiarity with AWS, GCP, or Azure.
Strong problem-solving skills, debugging capabilities, and attention to detail.

Preferred Qualifications

Experience with microservices, distributed systems, or large-scale SaaS applications.
Familiarity with Atlassian products like Jira or Confluence is a plus.
Knowledge of containerization technologies such as Docker and Kubernetes.

Additional Information

The base pay range for this role is $120,000 to $155,000 USD annually, along with equity, performance bonuses, and comprehensive benefits.

Atlassian is an equal opportunity employer and is committed to diversity and inclusion. We encourage candidates from all backgrounds to apply. Learn more about life at Atlassian and explore our open roles at https://www.atlassian.com/company/careers.

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Company Description

Job Description

If you are passionate about performance, reliability, clean architecture, and delivering value through code, this role is for you.

Responsibilities:

Design and implement backend components and services using modern languages and frameworks (Java, Kotlin, Spring Boot, etc.).
Write clean, scalable, and well-tested code that meets business and technical requirements.
Contribute to system architecture discussions and decisions.
Collaborate with frontend developers, designers, and product managers to define APIs and deliver seamless user experiences.
Monitor, maintain, and improve performance and reliability of production systems.
Participate in code reviews, testing, and deployment pipelines in a CI/CD environment.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
2+ years of professional experience in backend software development.
Proficiency in one or more server-side languages such as Java, Kotlin, or Node.js.
Experience with relational and NoSQL databases (e.g., PostgreSQL, DynamoDB, Redis).
Understanding of cloud-native architecture and familiarity with AWS, GCP, or Azure.
Strong problem-solving skills, debugging capabilities, and attention to detail.

Preferred Qualifications

Experience with microservices, distributed systems, or large-scale SaaS applications.
Familiarity with Atlassian products like Jira or Confluence is a plus.
Knowledge of containerization technologies such as Docker and Kubernetes.

Additional Information

The base pay range for this role is $120,000 to $155,000 USD annually, along with equity, performance bonuses, and comprehensive benefits.

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Company Description

Job Description

This role is ideal for engineers with a strong background in machine learning and software development who are passionate about innovation, scalability, and responsible AI.

Responsibilities:

Design and implement scalable machine learning models and algorithms for real-world applications.
Work closely with cross-functional teams to understand product requirements and translate them into ML solutions.
Build and optimize data pipelines for training and inference at scale.
Deploy machine learning models to production and monitor their performance and accuracy.
Contribute to the development of internal tools and frameworks that streamline the ML lifecycle.
Ensure ethical and responsible AI practices are embedded in model development and deployment.
Stay updated with the latest advancements in machine learning research and apply them to solve business problems.

Qualifications

Bachelors or Masters degree in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.
0-1 years of experience building machine learning models and deploying them in production environments.
Proficiency in Python or Java and ML libraries such as TensorFlow, PyTorch, or JAX.
Experience working with structured and unstructured data at scale.
Strong software engineering skills and experience with version control, testing, and CI/CD.
Knowledge of cloud platforms such as Google Cloud Platform, AWS, or Azure.
Understanding of data privacy, model fairness, and interpretability principles.
Excellent problem-solving and communication skills.

Preferred Qualifications

Experience in large-scale machine learning systems or recommendation engines.
Publications in top-tier ML conferences or open-source contributions.
Experience with AutoML, federated learning, or model compression techniques.

Additional Information

Google is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace for all employees.

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