Engineer Jobs

Product AI Tester / Quality Engineer II Location: Remote (with occasional stays at Zostel properties) Experience: 1-4 years Employment: Full-Time About Zostel We didn t just build hostels we created a playground for curious travelers. Now, we re weaving AI into every step of the guest journey from predictive pricing to automated operations and super-personalized recommendations so travelers get that magical wow, this just works feeling. Quality is our moat, and you will be the guardian of that promise. What You'll Do Own the Quality Narrative Collaborate with Product Managers from ideation to launch to define what "good" looks like. Translate fuzzy product ideas into clear, testable acceptance criteria and call out anything vague. AI-First Testing & Tooling Build and maintain smart automated test suites using tools like Testsigma, AccelQ, or any new AI-powered QA tech. Coach the team on where AI can reduce tedious regression cycles and where human intuition still reigns. Automate Like a Developer Write lightweight automation scripts (Python preferred, but JavaScript or Java also welcome) to test APIs, mock data, and generate load. Keep the CI/CD pipeline stable if it breaks, you re already on it before Slack lights up. Exploratory Sherlocking Put on the traveler hat and explore the product to find those tricky, production-only bugs. Log crystal-clear bugs engineers actually thank you for. Data-Driven Feedback Loops Dive into logs, dashboards, and SQL queries to detect flakiness and trending issues. Use data, not gut feelings, to recommend improvements. Release Confidence & Post-Launch Vigil Approve (or hold) production releases with confidence. Monitor live metrics post-launch to catch and fix issues before users notice. Who You Are Degree: BE/BTech in Computer Science, IT, or equivalent hands-on experience. Skills: Comfortable coding automation scripts (Python is a plus). Experience: 1-4 years in real-world QA/testing, ready to move beyond checkbox testing to AI-powered efficiency. Collaboration: You speak fluent engineer and product manager, bridging gaps smoothly. Detail-Oriented: You catch pixel-perfect UI glitches and subtle latency spikes. Curious Learner: The moment a new AI testing tool launches, you re already exploring it. Influence Zostel s AI-powered future with your test coverage ensuring smooth feature rollouts to thousands of travelers. Work with the latest QA technology, leaving legacy testing frameworks behind. Enjoy remote-first work with the option to stay at Zostel hostels when wanderlust calls. Take full ownership spot a problem and you get the keys (and Slack emoji) to fix it. Qualification : BE/BTech in Computer Science, IT, or equivalent hands-on experience

Sr. Software Engineer (Backend) Location: Remote (with occasional team workations) Experience: Minimum 4 years About Zo World Zo World is a pioneering Web3 platform revolutionizing community interaction with digital assets and blockchain technology. As the parent company of Zostel, we blend lifestyle and technology to create unique travel experiences with a cultural touch. Job Description As a Senior Backend Engineer, you ll play a critical role in designing, developing, and deploying backend services, setting best practices, and collaborating closely with Tech, Design, and Business teams to shape the future of Zostel. Key Responsibilities Develop backend services using Django and manage PostgreSQL databases. Implement DevOps practices to enable smooth deployment and operations (experience with AWS preferred). Integrate blockchain technology and develop smart contracts using Solidity. Collaborate with cross-functional teams to deliver seamless user experiences. Write clean, well-documented, and maintainable code. Mentor junior developers and lead code reviews. Contribute to the continuous improvement of development processes and products. Stay abreast of industry trends and emerging technologies. Requirements Minimum 4 years of hands-on backend development experience. Strong proficiency with Django and PostgreSQL. Experience with DevOps tools and cloud platforms (AWS preferred). Basic knowledge of blockchain tech and Solidity development is a plus. Ability to understand and customize existing codebases. Portfolio or links to products you ve worked on is a plus. Passion for innovation and building new products. Strong eagerness to learn and grow. Flexible remote work environment. Quarterly team workations to exciting travel destinations. Opportunity to become a product owner and work on bleeding-edge technologies. Competitive salary and benefits package. Continuous professional development and career growth opportunities.

Job Title: IMS/VoLTE Engineer Location: Remote (India) Experience: 3 5 years Industry: IT Services Job Type: Full-time Role Overview As an IMS/VoLTE Engineer, you will: Manage and troubleshoot Ribbon SBCs in an IMS/VoLTE environment. Execute SIP-P testing and use tools like Wireshark, IXIA, and Spirent to ensure high-quality IP voice and video services. Work with SIP, Diameter, and interconnect protocols for reliable and secure 4G/5G communication networks. Collaborate across teams and stay updated with IMS/VoLTE/5G trends. Key Responsibilities Ribbon SBC Configuration: Setup, manage, troubleshoot SBCs in production/test environments. IMS Core: Operate and debug IMS network elements. VoLTE/5G: Participate in deployment and optimization. Protocol Testing: Run and analyze SIP-P test cases. Tool Usage: Apply Wireshark, IXIA, Spirent, etc., to debug and validate services. Interconnect Protocols: Ensure seamless interoperability between systems. Documentation: Maintain detailed records of configs, issues, and test results. Optimization: Improve system performance, scalability, and reliability. Required Skills & Qualifications Experience: 3 5 years in telecom engineering with focus on IMS/VoLTE/SBC. Expertise in: Ribbon SBCs (hands-on) SIP Protocol (message flow, diagnostics) Diameter Protocol (AAA in 4G/5G) SIP-P and test automation tools Tools: Wireshark, IXIA, Spirent (others a plus) Cloud IMS: Familiarity with cloud-based IMS deployments Network Security: Understanding of security principles in IP-based communication Scripting: Python, Perl (for automation and diagnostics) Communication: Strong verbal and written communication Education: Bachelor s in EE, CS, or related; Master s preferred Certifications: IMS/VoLTE/SBC certifications are a bonus Interview Process 2 Technical Rounds Qualification : Bachelors in EE, CS, or related; Masters preferred

Job Title: Senior Generative AI & Data Engineer (Python) Remote | Chandigarh/Punjab Preferred Experience Required: 5+ Years Employment Type: Full-Time Work Days: 5 Days a Week Notice: Immediate Joiners Preferred About the Role We are seeking an experienced Senior Generative AI & Data Engineer with over 5 years of expertise in Python and enterprise-level AI/data engineering. This fully remote position is ideal for professionals based in Chandigarh or Punjab looking to contribute to cutting-edge AI projects while working from home. Key Responsibilities: Design and develop complex Large Language Model (LLM) layers and modules including flow creation, supervision, retrievers, and connection management. Build and optimize scalable data models, data pipelines, and translation layers for efficient data processing. Lead enterprise-grade Python development efforts with clean, maintainable code. Drive Generative AI engineering initiatives to innovate and enhance AI capabilities. Manage data engineering tasks using PostgreSQL, Polars, and orchestration tools such as Apache Airflow (DAGs). Oversee operational data workflows using key-value stores and queuing systems. Develop robust and scalable web services using FastAPI. Collaborate closely with cross-functional teams to deliver innovative engineering solutions aligned with business needs. Required Skills & Expertise: Strong proficiency in Python for enterprise applications. Hands-on experience in Generative AI engineering and LLM module development. Expertise in data engineering with PostgreSQL and Polars. Skilled in workflow orchestration using Airflow DAGs. Proficient in building web APIs with FastAPI. Experience managing key-value stores and message queuing systems for data operations. Work remotely while contributing to enterprise-level AI and data engineering projects. Collaborate with a dynamic, innovative team passionate about cutting-edge technology. Competitive salary and opportunities for professional growth. Flexible working environment supporting work-life balance.

Senior Quality Assurance Engineer (Remote - India) Location: Remote (India) Experience: 4+ Years Team: Mortgage Product Engineering Company: Ocrolus About Ocrolus At Ocrolus, we re redefining how lenders automate workflows by combining AI innovation with fintech expertise. Our AI-powered platform processes nearly one million credit applications monthly with 99%+ accuracy enabling faster, more accurate lending decisions. Trusted by industry leaders such as Better Mortgage, Brex, PayPal, and Square, Ocrolus drives financial inclusion through advanced data analytics and fraud detection. Join us to help build the future of lending by ensuring the highest quality standards across our products. Role Summary We are seeking a highly motivated Senior QA Engineer to join our Mortgage product team. In this critical role, you will design, develop, and execute comprehensive test strategies including manual and automated testing to guarantee the quality and reliability of both client-facing applications and internal tools. You ll collaborate with engineers, product managers, and designers to deliver seamless user experiences and robust API integrations. What You ll Do Design detailed test plans and cases aligned with product goals and technical specs. Perform functional, integration, regression, exploratory, and performance testing across web and backend systems. Identify, document, and manage defects throughout the SDLC, working closely with engineers to ensure timely resolution. Lead QA sign-offs for feature rollouts and releases, collaborating with stakeholders. Develop and maintain automated test suites for REST APIs (using Postman) and UI automation (using Playwright with JavaScript/TypeScript/Java). Write and execute SQL queries for backend validation and test data generation. Analyze logs, API responses, and metrics with tools like Sentry, Grafana, and Heap for root cause analysis and environment monitoring. Partner with frontend developers and designers to verify UI reliability and usability, leveraging tools like Figma. Continuously optimize QA workflows, champion process improvements, and implement automation tools. Foster a culture of quality, advocating best practices in coverage, documentation, and risk-based testing. What You ll Bring 4+ years as a QA or Test Automation Engineer in agile, fast-paced environments. Strong expertise in QA methodologies, test planning, execution, and defect management. Proficiency in API testing with Postman and SQL query writing. Experience with automated UI testing frameworks like Playwright or Cypress (JavaScript/TypeScript/Java). Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and issue trackers like JIRA. Experience with monitoring/logging tools such as Sentry and Grafana. Comfortable reading JSON and working with RESTful APIs. Excellent communication skills and ability to collaborate in cross-functional teams. Self-starter mindset with strong time management and problem-solving skills. Bonus Points QA experience in fintech, document automation, or financial data processing platforms. Knowledge of security testing methodologies. Life at Ocrolus Empathy: Serve with compassion and understanding. Curiosity: Question the status quo and explore new ideas. Humility: Stay grounded, open-minded, and listen. Ownership: Take pride in your work and deliver excellence. We are a remote-first, fast-growing company committed to an inclusive culture where every voice matters. Join us in shaping the future of lending!

Senior Software Engineer (Remote - India) Location: Remote (India) Experience: 5+ Years Team: Backend Engineering Company: Ocrolus About Ocrolus At the cutting edge of AI and fintech, Ocrolus empowers lenders to automate workflows confidently streamlining borrower evaluations and enabling faster, more accurate lending decisions. Our AI-driven platform processes nearly one million credit applications monthly, combining advanced AI models with human verification to deliver 99%+ accuracy. Trusted by industry leaders including Better Mortgage, Brex, PayPal, and Square, we re shaping a more inclusive financial future through innovation. Role Overview We re seeking a Senior Software Engineer with strong technical expertise and leadership skills to architect and build the next generation of backend systems. You will design scalable microservices, develop cloud-based products, and collaborate across teams to deliver reliable, secure, and high-performance solutions that handle millions of transactions. What You ll Do Design, implement, and maintain scalable microservices primarily using Python. Develop cloud-native software products following industry best practices. Build systems and tools to support new Ocrolus products and evolving business requirements at scale. Collaborate with teams on security, reliability, automation, and performance optimization. Support testing efforts, troubleshoot production issues, and implement solutions. Lead and own projects end-to-end, influencing architectural decisions and technology choices. What You ll Bring Bachelor s degree in Computer Science or a related field. 5+ years of professional software engineering experience. Expertise in Python with hands-on experience building complex backend systems. Strong database knowledge including Postgres, MySQL, and data modeling skills. Experience with web frameworks such as Flask, Spring, or related ecosystems. Excellent problem-solving abilities and communication skills. Proven ability to provide architectural leadership and best practices for backend systems. Experience leading projects through full development lifecycles. Familiarity with Agile methodologies and automated testing frameworks. Knowledge of containerization (Docker), microservices architecture, continuous integration, AWS cloud services, and deployment pipelines. Life at Ocrolus At Ocrolus, we re a remote-first team of builders, thinkers, and problem solvers passionate about our mission and each other. We foster an environment where you can grow your skills, take ownership, and make a meaningful impact. Our core values guide us: Empathy: Understand and serve with compassion. Curiosity: Explore new ideas and challenge the status quo. Humility: Stay grounded, open-minded, and listen. Ownership: Love what you do, work hard, and deliver excellence. We are committed to diversity and inclusion, ensuring everyone has a seat at the table regardless of background or identity. Join us and help build the future of lending. Apply today! Qualification : Bachelors degree in Computer Science or a related field.

Senior Software Engineer - Backend Location: Remote (India) Experience: 5+ Years Company: Ocrolus About Ocrolus At the intersection of AI and fintech, Ocrolus empowers lenders to automate workflows confidently streamlining borrower evaluation and enabling faster, more accurate lending decisions. Our AI-driven platform processes nearly one million credit applications monthly, combining cutting-edge AI models with human verification to deliver over 99% data accuracy. Trusted by industry leaders like Better Mortgage, Brex, PayPal, and Square, we re driving innovation to create a more inclusive financial ecosystem. Role Overview We are looking for a Senior Software Engineer with strong expertise in building scalable distributed systems. You ll design, implement, and maintain microservices using Go, Python, and Java, contributing to high-performing cloud-native products that scale across millions of transactions. This role requires a proactive engineer who takes ownership and demonstrates technical excellence in a fast-paced environment. What You ll Do Design, develop, and maintain microservices using Go, Python, and Java. Build cloud-based software products following best practices for scalability and security. Create systems, services, and tools that handle Ocrolus s expanding product suite and business needs. Scale online services and data pipelines to support millions of transactions securely. Collaborate with cross-functional teams on security, reliability, automation, and deployment. Support testing processes, troubleshoot complex issues, and implement effective resolutions. Who We re Looking For Bachelor s degree in Computer Science or related field. 5+ years of professional software engineering experience. Expertise in Go, Python, and/or Java with experience building complex backend systems. Strong database skills with experience in Postgres, MySQL, and data modeling. Familiarity with web frameworks like Spring, Flask, and related ecosystems. Proven problem-solving ability and excellent communication skills. Ability to provide architectural leadership and influence technology decisions. Experience leading projects from inception through delivery. Knowledge of Agile methodologies and automated testing best practices. Experience with containerization (Docker), microservices architecture, CI/CD pipelines, AWS, and cloud deployments. Life at Ocrolus We are a team of builders, thinkers, and problem solvers who care deeply about our mission and each other. As a fast-growing, remote-first company, we offer a collaborative environment where you can grow, take ownership, and make a meaningful impact. Our culture is grounded in four core values: Empathy: Serve with compassion and understanding. Curiosity: Question the status quo and explore new ideas. Humility: Stay open-minded and grounded. Ownership: Take pride in your work, strive for excellence. We embrace diversity and are committed to an inclusive workplace where everyone belongs regardless of race, gender, identity, age, disability, or any other characteristic. Join us and help build the future of lending. Apply today! Qualification : Bachelors degree in Computer Science or related field.

Senior Software Engineer - Full-stack Location: Remote (India) Experience: 5+ Years Company: Ocrolus About Ocrolus At the intersection of AI and fintech, Ocrolus empowers lenders to automate workflows with confidence streamlining borrower evaluation and enabling faster, more accurate lending decisions. Our AI-driven platform processes nearly one million credit applications monthly, combining cutting-edge AI models with human verification to deliver over 99% data accuracy. Trusted by industry leaders like Better Mortgage, Brex, PayPal, and Square, we re driving innovation to create a more inclusive financial ecosystem. Role Overview We are seeking a Senior Software Engineer - Full-stack with a strong technical foundation and experience building scalable distributed systems. The ideal candidate will thrive in a fast-paced environment and demonstrate ownership and engineering excellence across both frontend and backend technologies. What You ll Do Design, develop, and maintain microservices using TypeScript, React, and Go, Python, and/or Java. Build cloud-native software products adhering to industry best practices for security, scalability, and reliability. Develop systems, services, and tools to support Ocrolus s expanding product portfolio and business needs. Scale online services and data pipelines processing millions of transactions securely. Collaborate with cross-functional teams to enhance security, reliability, and automation. Support testing activities, troubleshoot production issues, and implement solutions. Who We re Looking For Bachelor s degree in Computer Science or a related field. 5+ years of professional software engineering experience. Expertise in Java with solid understanding of the JVM and experience building complex service applications. Proficient with frontend frameworks, including React and the broader React ecosystem. Experience with backend frameworks such as Spring and Flask. Strong database knowledge, including Postgres, MySQL, and data modeling. Demonstrated ability to lead projects end-to-end and contribute architectural guidance for both frontend and backend systems. Familiarity with containerization, microservices, CI/CD pipelines, AWS, and cloud deployments. Excellent problem-solving and communication skills. Life at Ocrolus We are a team of builders, thinkers, and problem solvers who care deeply about our mission and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy: Serve with compassion and understanding. Curiosity: Question the status quo and explore new ideas. Humility: Stay open-minded and grounded. Ownership: Take pride in your work, strive for excellence. We embrace diversity and are committed to an inclusive workplace where everyone belongs regardless of race, gender, identity, age, disability, or any other characteristic. Join us to help build the future of lending. Apply today! Qualification : Bachelors degree in Computer Science or a related field.

Sr. Big Data Engineer Location: India The Impact You Will Have: You will work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues. What We Look For: 10+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. 6+ years of experience working on Big Data Architectures independently. Strong experience working in the Databricks ecosystem. Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure). Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Job Title: AI Engineer Job Type: Full Time Job Description: We are seeking an AI Engineer to join our team, responsible for building intelligent systems that leverage deep learning, NLP, and AI-driven automation. The ideal candidate will have experience in developing AI-powered applications and optimizing machine learning models for real-time processing. Key Responsibilities: Develop and deploy AI-powered applications using machine learning models. Implement and fine-tune deep learning models for applications in NLP, computer vision (CV), and recommendation systems. Optimize AI pipelines to ensure efficient and scalable real-time processing. Collaborate closely with software engineers and data scientists for seamless end-to-end integration of AI solutions into production environments. Continuously evaluate and improve the performance and accuracy of AI models. Stay up-to-date with the latest advancements in AI technologies and implement them in practical applications. Preferred Qualifications: Strong background in Python, and hands-on experience with frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience in deploying AI models using tools like Docker, Kubernetes, or cloud platforms (e.g., AWS, Azure). Deep understanding of ethical AI and responsible AI practices to ensure fairness, transparency, and accountability in AI systems. Ability to work in a collaborative, fast-paced environment to deliver high-quality solutions. Desired Skills: Experience with reinforcement learning or generative models. Familiarity with building and maintaining AI pipelines and working with large datasets. Knowledge of AI interpretability and model explainability techniques.

Job Title: AI Software Engineer Job Type: Full Time Job Description: As an AI Software Engineer, you will be responsible for designing and developing AI-powered software applications that drive innovation and automation. You will work with cutting-edge AI technologies to deliver smart, scalable solutions that optimize processes and enhance software performance. Key Responsibilities: Develop and deploy AI-driven solutions in software applications to enhance functionality and user experience. Implement machine learning algorithms for predictive analytics and decision-making processes. Work with AI APIs and SDKs to integrate intelligent features into applications. Optimize software performance for AI workloads, ensuring scalability and efficiency in production environments. Collaborate with cross-functional teams to ensure AI solutions meet business requirements and objectives. Continuously monitor and improve the performance of AI-driven applications. Preferred Qualifications: Strong programming skills in Python, Java, or C++. Experience with AI model deployment and cloud-based AI solutions (e.g., AWS, Azure, GCP). Familiarity with DevOps practices for AI software scalability, ensuring efficient integration and continuous delivery. Knowledge of AI frameworks (TensorFlow, PyTorch) and their integration into software applications. Desired Skills: Experience in building and maintaining AI APIs and microservices. Familiarity with containerization technologies like Docker and Kubernetes for deploying AI models. Strong problem-solving skills with an emphasis on optimizing software performance for AI tasks.

Working at Atlassian At Atlassian, we believe in empowering our employees with the flexibility to choose where they work whether in the office, from home, or a hybrid combination of both. This approach gives Atlassians greater control over their work-life balance, family priorities, and personal goals. We are a distributed-first company, hiring people across the globe where we have legal entities, with virtual interviews and onboarding processes in place. We are currently looking for a Senior Data Engineer to join our Go-To-Market Data Engineering (GTM-DE) team. This team is responsible for building and maintaining our data lake, ensuring our big data pipelines and services are optimized, and facilitating the movement of billions of messages each day. You'll work directly with business stakeholders, platform, and engineering teams to enable growth and retention strategies at Atlassian. We re looking for someone who is passionate about building scalable services and enjoys problem-solving in a fast-paced environment. What You ll Do: Help stakeholder teams ingest data into our data lake more efficiently. Improve the performance of our data pipelines, ensuring scalability. Innovate to create self-serve data engineering capabilities within the company. Design and build micro-services that support large-scale data ingestion and processing. Architect and enable self-serve data engineering services to help scale Atlassian's growth. Work with a cloud-based AWS data lake, leveraging open-source tools like Spark and Airflow. Apply your technical skills to build reliable and scalable services to support a multi-petabyte data lake. Work collaboratively in a fast-paced environment where creativity is key to success. What We Expect on Your First Day: A BS in Computer Science or equivalent professional experience. At least 5+ years of professional experience as a Sr. Software Engineer or Sr. Data Engineer. Strong proficiency in programming (preferably Python, Java, or Scala). Experience writing SQL, structuring data, and understanding data storage practices. Familiarity with data modeling and data warehousing concepts. Hands-on experience building data pipelines, platforms, microservices, and REST APIs. Familiarity with Spark, Hive, Airflow, and other streaming technologies to process large-scale streaming data. Experience working with Amazon Web Services (AWS), particularly EMR, Kinesis, RDS, S3, SQS, and similar services. Familiarity with Agile, TDD, and CI/CD development practices. A strong focus on data quality with experience using tools or frameworks to detect data issues and anomalies. A willingness to accept failure, learn from it, and continuously improve. Open-mindedness to explore unconventional solutions. Preferred Experience: Experience building self-service tooling and platforms. Experience designing and implementing Kappa architecture platforms. Experience with Databricks, including using their APIs to build pipelines. Contributions to open-source projects, such as creating Airflow operators. Perks & Benefits: Atlassian offers a wide range of perks and benefits to support you, your family, and your engagement with the community. Our offerings include: Comprehensive health coverage. Paid volunteer days to give back to your community. Wellness resources to support your mental and physical health. And much more to help you thrive both personally and professionally. This role offers you the opportunity to work on cutting-edge technologies, innovate at scale, and contribute to the overall growth and success of Atlassian. If you're passionate about data engineering, building scalable services, and working in a collaborative, fast-paced environment, we d love to hear from you! Qualification : A BS in Computer Science or equivalent professional experience.

Working at Atlassian At Atlassian, we empower our employees by giving them the flexibility to choose where they work whether in an office, from home, or through a combination of both. This approach helps Atlassians balance their work, family, and personal goals. We are a distributed-first company, and we can hire talented people from any country where we have a legal entity. All interviews and onboarding are conducted virtually to accommodate our global workforce. About the Role: Data Engineer At Atlassian, we are seeking a Data Engineer to join our Go-To-Market Data Engineering (GTM-DE) team. This team is responsible for building and maintaining our data lake, managing big data pipelines, and facilitating the movement of billions of messages every day. You will work directly with business stakeholders and collaborate with platform and engineering teams to support Atlassian s growth and retention strategies. We are looking for a structured thinker who is passionate about building scalable services and is ready to tackle the challenge of helping Atlassian scale its operations. If you enjoy solving complex problems and working in a fast-paced environment, this is the opportunity for you. What You ll Do: Help stakeholder teams efficiently ingest data into our data lake. Optimize data pipelines for better performance and scalability. Develop microservices, design architectures, and build self-serve capabilities at scale. Work with a cloud-based AWS data lake and leverage open-source technologies like Presto, Spark, Airflow, and Hive. Apply your technical expertise to manage and orchestrate multi-petabyte scale data lakes. Work with minimal legacy, spending more time on innovation and improving the platform experience. What We Expect on Your First Day: A BS in Computer Science or equivalent experience. At least 2 years of professional experience as a Software Engineer or Data Engineer. Strong programming skills in Python, Java, or Scala (a combination of these is preferred). Experience with data modeling, data warehousing, and SQL. Familiarity with modern software development practices like Agile, TDD, and CI/CD. Hands-on experience with Spark, Hive, Airflow, and other streaming technologies to process large-scale data. Experience with Amazon Web Services (AWS), particularly EMR, Kinesis, RDS, S3, and SQS. A growth mindset with a willingness to learn from failures and continuously improve. Open to exploring innovative solutions that may seem unconventional at first. Preferred Experience: Experience building self-service tooling and platforms. Experience designing and implementing Kappa architecture platforms. A passion for building and maintaining continuous integration pipelines. Experience with Databricks and its APIs. Contributions to open-source projects, such as building Airflow operators. Our Perks & Benefits: Atlassian offers a variety of perks and benefits to support your work, family, and community engagement. Some of the benefits we provide include: Health coverage to keep you well. Paid volunteer days to give back to your community. Wellness resources to support your physical and mental health. Plus many more offerings to help you thrive in both your personal and professional life. At Atlassian, you will be part of an innovative team where you can develop and grow your skills while making a direct impact on the company's growth and success. If you're ready to tackle complex data challenges in a fast-paced environment, we want to hear from you! Qualification : A BS in Computer Science or equivalent experience.

Position Title: Senior Data Engineer, Products and Platform Data Engineering About the Team: Atlassian's Data Engineering team is a highly skilled group dedicated to building world-class data solutions and applications that power crucial business decisions throughout the organization. We manage and maintain multiple analytical data models and pipelines across Atlassian, providing a unified way of analyzing products, customers, operations, and their interconnections. We re the backbone of the data-driven culture at Atlassian, supporting teams across Finance, Growth, Product Analysis, Customer Insights, Sales, and Marketing. We are looking for a Senior Data Engineer to join our Products and Platform Data Engineering team. This role reports to the Data Engineering Manager, based in Sydney. In this role, you will help build the infrastructure that enables our data solutions to grow and scale, making sure that business stakeholders have access to accurate and actionable insights. You ll partner closely with Data Analytics, Data Scientists, and various stakeholders to deliver high-impact data solutions across Atlassian's ecosystem. What You ll Do: Collaborate with Data and Business Teams: Partner with Product Analytics, Data Scientists, and other stakeholders to understand their needs and architect/build data solutions that provide valuable insights and drive business decisions. Design and Build Data Models and Pipelines: Develop scalable data models and build data acquisition/ingestion processes that can handle large volumes of data, ensuring they meet the product and business requirements. Develop Backend Systems: Build and maintain backend data systems that help Atlassian scale its data infrastructure, enabling seamless flow and access to critical data. Lead End-to-End Data Solutions: Take full ownership of building, scaling, and improving data pipelines and processes across Atlassian. You'll handle requirements from vague concepts, iterating to refine solutions rapidly. Improve Data Quality: Drive initiatives to improve the data quality within the team by using and enhancing internal tools and frameworks that automatically detect and resolve data quality issues. Mentor and Support Team Members: Help foster a culture of learning by mentoring junior engineers and ensuring best practices are maintained across the team. What We re Looking For: BS in Computer Science or equivalent experience. 8+ years of experience as a Senior Data Engineer or in a similar role, with a deep understanding of data engineering processes and infrastructure. Strong programming skills in Python (other languages such as Java or Scala are a plus) and experience with data-centric programming. Proficiency in SQL and experience designing and optimizing relational databases for large-scale data storage and retrieval. Experience with Spark (SparkSQL) and other tools in the big data ecosystem to build scalable data pipelines (e.g., Apache Kafka, Hive, Flink, etc.). Familiarity with AWS (Amazon Web Services) or similar cloud platforms and experience with services like EMR, S3, Kinesis, and RDS. Experience with data modeling and designing efficient storage solutions for both structured and unstructured data. Hands-on experience with scheduling frameworks like Airflow or equivalent tools to orchestrate workflows. Strong experience with Agile methodologies, including TDD, CICD, and continuous iteration for improvement. Problem-solving mindset: Ability to turn vague requirements into concrete solutions and handle complex challenges with creative, scalable solutions. Nice-to-Have Skills: Experience building self-service data platforms for internal teams to access and work with data independently. Experience with real-time data processing using technologies like Apache Kafka or Flink. Familiarity with Databricks and their APIs. Knowledge of monitoring and observability tools for ensuring high data quality and reliable data systems. At Atlassian, we believe in delivering high-quality solutions through collaboration, innovation, and a focus on customer success. This is a fantastic opportunity to join a fast-growing company and help build the data systems that power key business decisions across the organization. You will have the chance to work with cutting-edge technology and shape Atlassian s data-driven culture. If you're an experienced Data Engineer with a passion for building scalable data solutions and working with teams to drive business value, we d love to hear from you! Qualification : BS in Computer Science or equivalent experience.

Position Title: Application Engineer Finance Technology About Atlassian: At Atlassian, we offer flexible working options where you can choose to work from the office, remotely, or a combination of both. This flexibility allows our team members to better balance family, personal goals, and other priorities. We hire people globally in any country where we have a legal entity, and all interviews and onboarding are conducted virtually, in line with our distributed-first approach. Role Overview: As an Application Engineer on the Finance Technology team, you'll configure and implement solutions using leading third-party HR and Finance SaaS applications like Workday HCM and Oracle Fusion. You'll work within a dynamic and global team, leveraging your technical expertise to drive impactful projects and solve critical system issues. In this role, you'll develop solutions, identify and address root causes of technical challenges, and learn new tools to support the team s success. You'll also collaborate across various teams to set expectations, gather input, and communicate results. Key Responsibilities: Workday Configuration & Deployment: Analyze business requirements, design, configure, test, and independently deploy solutions utilizing Workday HCM, Payroll, and related Workday modules. End-to-End Solution Development: Collaborate with peer engineers to develop technical solutions addressing large, complex business problems. Incident Support: Provide Level 3 support for incident resolution, fix defects, and quickly address system issues. Opportunity Identification: Research and identify opportunities for implementing new Workday functionality to bring additional value to customers and address business needs. Cross-Application Support: Learn and provide support for other applications used by the team beyond Workday, broadening your technical expertise. Qualifications: 4+ years of experience configuring HR Systems, with at least 2 years of experience implementing and supporting Workday HCM in either a corporate HRIS/IT role or as part of a Workday implementation partner. Proficiency with multiple Workday modules, including Core HCM, Payroll, Third-party Payroll, and Reporting. Strong understanding of Workday modules like Compensation, Benefits, Time Tracking, and Absence and how these modules integrate. Project Ownership: Ability to drive projects independently from initiation to completion. Collaboration Skills: Strong ability to build and maintain working relationships with stakeholders across the organization. Educational Background: Bachelor's degree in Information Technology or relevant work experience. Preferred Qualifications: Workday certification (Workday Pro or through an implementation partner). Experience in building integrations within Workday or other enterprise systems. Familiarity with custom application development and problem-solving within enterprise HRIS/IT systems. Experience working within an Agile/Scrum framework and using tools like JIRA for project management. Perks & Benefits: Comprehensive health coverage Paid volunteer days to give back to the community Access to wellness resources And much more! If you re passionate about solving complex challenges, working with global teams, and optimizing HR and Finance systems, join Atlassian s growing Finance Technology team and help drive the company s continued success. Apply now! Qualification : Bachelor's degree in Information technology or relevant work experience

Position Title: Application Development Engineer Finance Technology About Atlassian: At Atlassian, we offer flexible working options that allow you to work from the office, remotely, or a combination of both, so you can better balance your family, personal goals, and other priorities. We can hire people in any country where we have a legal entity, and all interviews and onboarding are done virtually as part of our distributed-first culture. Role Overview: As an Application Development Engineer in the Finance Technology team at Atlassian, you ll be at the forefront of driving operational excellence and technology integration within Finance. You'll work across multiple projects and collaborate with engineering teams to build and maintain a best-in-class Finance SaaS ecosystem. In this role, you'll leverage Oracle Fusion Cloud and other essential tools to automate and streamline financial processes. You ll also have an opportunity to work with cutting-edge technologies like AI/ML and RPA to further drive operational efficiency. Key Responsibilities: Maximize Oracle Fusion Cloud Features: Work across Core Financial modules (OM, AR, AP, FA, GL) and implement new features released quarterly. Ensure all your assigned projects align with OKRs and business objectives. Automation and Efficiency: Bring an automation mindset to your work, tackling operational challenges and implementing RPA and low-code/no-code tools to improve efficiency within the Finance team. Integration and Maintenance: Integrate and maintain systems like Oracle Fusion Cloud with other finance SaaS applications such as Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc., ensuring smooth functionality across the platform. Metrics-Driven Approach: Be passionate about driving metrics that measure business outcomes, working closely with the Internal Audit team to ensure compliance and SOX adherence. Collaboration & Impact: Partner with diverse teams including engineers, data scientists, and Technical Product Managers to ensure timely delivery and alignment on project goals, while influencing Finance system reliability and performance. Complex Problem Solving: Understand end-to-end business flows, addressing both short-term issues and long-term architectural improvements, while ensuring upstream changes are accounted for in Finance systems. Qualifications: Expertise in Oracle Fusion Cloud and other SaaS systems like Zuora, Coupa, Fieldglass, Anaplan, Avalara. 12+ years of hands-on industry experience in application development engineering, with a deep understanding of supporting large organizations and managing business transformations. Experience with automation and PaaS tools, especially RPA, Workato, Camunda. Exposure to upstream and downstream systems like Salesforce and Databricks is a plus. Familiarity with AI/ML and how these technologies can be applied to business functions. Comfortable with 24x7 operational systems and a continuous improvement culture. Strong interpersonal, communication, and presentation skills to engage with stakeholders and collaborate across teams. Passionate about making a difference and driving meaningful impact every day. Perks & Benefits: Health coverage Paid volunteer days Wellness resources And much more! If you're driven by innovation, automation, and collaboration and want to make a lasting impact in a world-class SaaS ecosystem, Atlassian is the place for you. Apply today!

Position Title: Application Engineer - People Technology Team About Atlassian: At Atlassian, we offer flexible working options, allowing you to work from the office, remotely, or a combination of both. This flexibility empowers you to balance your family, personal goals, and other priorities. We hire people in any country where we have a legal entity, and all interviews and onboarding are conducted virtually, reflecting our distributed-first approach. Role Overview: Join our People Technology team as an Application Engineer, where you will leverage your technical expertise to optimize and configure Recruiting and HR technology solutions, including iCIMS ATS, iCIMS CRM, and Workday. In this role, you will collaborate with global teams, contribute to innovative solutions, and continuously expand your technical skills while making a tangible impact on our talent acquisition and HR systems. Key Responsibilities: System Configuration & Deployment: Analyze requirements and independently design, configure, test, and deploy solutions using iCIMS ATS, iCIMS CRM, and other third-party SaaS applications along with internal Atlassian recruiting systems. Collaboration & Enhancement: Partner closely with Talent Acquisition teams, peer developers, and engineers to build new technology capabilities or enhance existing systems. iCIMS Support: Serve as the point of contact for iCIMS-related inquiries, resolve issues, and provide timely, high-quality support to end-users. Data Quality Initiatives: Drive data quality initiatives to ensure accuracy and consistency across iCIMS and integrated systems. System Performance & Compliance: Stay informed about iCIMS updates, industry best practices, and continuously enhance system performance and capabilities. Ensure system security, compliance, and alignment with company policies and industry standards. Expand Expertise: Continuously learn and support additional technologies used by the People Technology team to broaden your expertise. Required Skills & Experience: 5+ years of experience configuring HR/recruiting systems, with at least 3 years focused on iCIMS ATS and CRM implementation and support. Experience integrating and configuring Workday HCM. Strong understanding of recruiting and HR business processes. Good understanding of general software application design principles. Exceptional collaboration and communication skills, with the ability to engage effectively with technical and non-technical stakeholders. Bachelor s degree in Information Technology or a related field. Preferred Qualifications: Experience developing custom applications or tools in-house. Familiarity with Agile/Scrum frameworks and JIRA. Perks & Benefits: Atlassian offers a variety of perks and benefits to support you, your family, and help you engage with your local community. Our offerings include: Health coverage Paid volunteer days Wellness resources And much more! If you're passionate about optimizing HR technologies, like iCIMS and Workday, and want to work on innovative solutions that drive talent acquisition, we want to hear from you. Apply now to join a dynamic and collaborative team at Atlassian! Qualification : Bachelors degree in Information Technology or a related field.

Role and Responsibilities: Learning and Growth: The position emphasizes learning and development, with initial work alongside a senior QA engineer. Focus on understanding QA responsibilities through feedback and guidance. Software Testing Life Cycle (STLC): Involvement in all phases of the STLC: Requirement Analysis & Planning: Analyzing requirements, assisting in test plan creation, and developing test cases. Test Execution & Defect Management: Setting up test environments, executing tests, reporting defects, and collaborating with developers. Closure & Documentation: Compiling test results, participating in retrospectives, and creating end-user documentation. Agile Participation: Active participation in sprint ceremonies and communication of blockers. WordPress Focus: Testing WordPress-based websites and web applications, covering both backend and frontend. Required Skills ("Must Haves"): Testing Fundamentals: Proficiency in functional, UI, and API testing. Experience with web-based applications and test management tools. Basic Automation: Ability to automate simple test cases. Familiarity with version control (Git/GitHub). Technical Knowledge: HTML/CSS, JavaScript basics, SQL. Browser DevTools, command-line usage. Analytical and Communication Skills: Analytical thinking, attention to detail. Strong written and verbal communication in English. Adaptability and Growth Mindset: Openness to feedback, continuous learning. Ability to adapt to change. Preferred Skills ("Good to Have"): Familiarity with Agile development. Familiarity with the WordPress interface. Hands on experience with automated testing using Javascript or Python. Company Culture: rtCamp values "Good Work. Good People." Commitment to equal employment opportunities.

Job Title: Senior Software Engineer (Frappe/ERPNext) Company: rtCamp Job Summary: We are moving our business processes and internal tools to Frappe/ERPNext to support the rapid growth of our business. You will be working on rtCamp s own project initially. You will work closely with our internal team to understand their requirements and translate them into scalable solutions. Key Responsibilities: Communicate with different stakeholders to translate business processes and requirements into Frappe constructs such as DocTypes. Develop and maintain apps based on the Frappe framework for customizations and integrations such as ERPNext, Frappe HRMS, Projects, CRM, and others. Ability to work with Vue.js and Frappe-UI to work on the front-end. Create and maintain technical documentation. Keep up-to-date with the latest Frappe/ERPNext technologies and features. Help other engineers improve their Frappe/ERPNext skills through code review and guidance. Must Haves: 3+ years of experience with the Frappe and ERPNext ecosystem. Active contributor to Frappe open-source projects and the community. Experience in architecting complex business processes within the Frappe ecosystem. Decent knowledge of Python, MariaDB/MySQL, JavaScript, and the ability to create E-R diagrams. Familiarity with REST APIs and web services. Comfortable with version control (Git). Experience with workflows, access controls, page layouts, custom objects, custom record types, reports, and dashboard design and development. Good communication skills, both written and verbal. Good to Have: Experience with deployment pipelines and hosting Frappe-based websites. Knowledge of Docker, Kubernetes, AWS, and Nginx. Frappe Framework Certification. Note: On selection, your job title within the organization will be Senior Software Engineer (Frappe/ERPNext). Company Culture: At rtCamp, we believe in fostering a work environment that reflects our core values of Good Work. Good People. We are committed to providing equal employment opportunities to all individuals based on their skills, qualifications, and professionalism, without regard to age, race, gender.

Machine Learning Engineer Experience: 5+ years in Machine Learning and Software Engineering About Coinbase: At Coinbase, our mission is to increase economic freedom globally. We are building the emerging on-chain platform that will power the future global financial system. To achieve this, we re looking for passionate individuals who believe in the transformative power of crypto and blockchain technology. If you thrive in a fast-paced environment, love solving hard problems, and want to leave your mark on the world, Coinbase is the place for you. About the Platform Product Group: Our engineers work to build a trusted, scalable, and compliant platform that operates with speed, efficiency, and quality. We build and maintain the critical platforms that support Coinbase s core services, including teams focused on Product Foundations (Identity, Payment, Risk, Proofing & Regulatory), Machine Learning, Customer Experience, and Infrastructure. The Role: As a Machine Learning Engineer at Coinbase, you will play a pivotal role in constructing essential infrastructure for the open financial system. You will work with diverse data sources, including the blockchain, to ensure millions of users can access cryptocurrency safely while detecting and preventing malicious entities. Additionally, your work will involve applying machine learning to enhance user experiences, such as improving recommendations, risk assessments, chatbots, and more. What You ll Be Doing: Apply cutting-edge machine learning techniques, including deep learning, large language models (LLMs), and graph neural networks, to solve a variety of challenges (fraud detection, recommendation systems, targeting, chatbots, blockchain mining, etc.). Develop and deploy robust, scalable, and low-maintenance ML solutions in production. Build and maintain tools and infrastructure to democratize machine learning resources across Coinbase, fostering a culture of ML adoption and innovation. What We Look For in You: 5+ years of industry experience as a machine learning and software engineer. Strong background in building backend systems at scale, focusing on data processing, machine learning, and analytics. Experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient boosting trees, etc. Proficiency in one or more of the following areas: data mining, information retrieval, advanced statistics, natural language processing, or computer vision. A commitment to Coinbase s core cultural values: positive energy, clear communication, curiosity, and being a builder. Nice to Haves: BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python and relevant ML frameworks. Experience with model interpretability and responsible AI practices. Strong skills in data analysis and visualization. Join a fast-paced, high-energy environment where you will work alongside the brightest minds in the industry. If you re ready to solve big challenges, create impactful solutions, and help shape the future of crypto, Coinbase is the place for you. Qualification : BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.