PredictSpring

About PredictSpring

PredictSpring is a market-leading company shaping the future of omni-channel retail and modern POS technology. We help global retail and lifestyle brands deliver seamless, scalable, and modern customer experiences across digital and in-store channels.

We are looking for an experienced Salesforce Developer with strong technical expertise and Upper C1 level English communication skills to join our global remote team.

In this role, you will design, develop, customize, and maintain Salesforce solutions that improve business workflows, strengthen CRM operations, and support cross-functional teams. You will work closely with product managers, business analysts, administrators, engineering teams, and business stakeholders to understand requirements, explain technical solutions clearly, and deliver secure, scalable, and high-quality Salesforce applications.

Upper C1 English communication is mandatory. The candidate must be able to speak clearly and confidently in remote meetings, explain Salesforce concepts in simple business terms, ask strong follow-up questions, and communicate effectively with both technical and non-technical stakeholders.

Responsibilities

As a Salesforce Developer, you will:

• Salesforce Development: Design, develop, and maintain custom Salesforce solutions using Apex, Lightning Web Components, Visualforce, Flows, and other Salesforce platform tools.
• Business Requirement Translation: Work closely with business stakeholders, product teams, and Salesforce administrators to understand business needs and translate them into clear technical solutions.
• Lightning Web Components: Build and enhance modern Salesforce user interfaces using Lightning Web Components, Aura Components, and the Salesforce Lightning Design System.
• Apex Development: Develop Apex classes, triggers, batch jobs, scheduled jobs, and asynchronous processes to support business logic and automation.
• Salesforce Integrations: Design, build, and maintain integrations between Salesforce and external systems using REST APIs, SOAP APIs, Bulk API, Platform Events, middleware, or other integration tools.
• Data Management: Work with Salesforce objects, fields, relationships, SOQL, SOSL, Data Loader, and data migration processes to ensure data accuracy and system reliability.
• Automation & Configuration: Build and maintain Salesforce Flows, validation rules, approval processes, workflow automation, and custom business processes.
• Testing & Debugging: Write unit tests, troubleshoot bugs, debug Apex and Lightning components, and ensure solutions meet Salesforce testing and deployment requirements.
• Release & Deployment: Support deployments across sandbox and production environments using Salesforce DX, change sets, Git, CI/CD tools, or similar release management practices.
• Security & Access Control: Configure and support Salesforce security settings, including profiles, permission sets, sharing rules, roles, field-level security, OAuth, and authentication flows.
• Performance Optimization: Optimize Apex, SOQL queries, Lightning components, and integrations to improve performance, scalability, and user experience.
• Documentation: Create clear technical documentation, configuration notes, integration details, and release documentation for both technical and non-technical audiences.
• Cross-Functional Collaboration: Communicate clearly with global remote teams in English, explain technical issues in simple business terms, clarify requirements, and provide regular updates on development progress, risks, and blockers.

Requirements

We are looking for someone with:

• Communication: Upper C1 level English communication skill is mandatory. The candidate must be able to speak fluently and confidently in remote meetings, explain complex Salesforce topics clearly, ask strong follow-up questions, and communicate with both technical and non-technical stakeholders.
• Experience: Proven experience as a Salesforce Developer, Salesforce Platform Developer, CRM Developer, or similar role.
• Salesforce Platform: Strong hands-on experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, or similar Salesforce products.
• Apex & LWC: Strong experience developing with Apex, Lightning Web Components, Visualforce, Aura Components, and Salesforce platform customization tools.
• SOQL & Data Model: Strong understanding of Salesforce data model, custom objects, relationships, SOQL, SOSL, and data management best practices.
• API & Integration Skills: Experience building and supporting Salesforce integrations using REST APIs, SOAP APIs, Bulk API, Platform Events, webhooks, or middleware platforms.
• Automation: Experience with Salesforce Flows, validation rules, approval processes, workflow rules, process automation, and business logic configuration.
• Testing: Ability to write Apex unit tests, troubleshoot technical issues, validate business requirements, and ensure high-quality Salesforce releases.
• Version Control: Familiarity with Git, Salesforce DX, deployment pipelines, change sets, or CI/CD release processes.
• Agile Environment: Experience working in Agile or Scrum teams, participating in sprint planning, backlog refinement, daily standups, demos, and release cycles.
• Problem Solving: Strong analytical and problem-solving skills with the ability to troubleshoot production issues, identify root causes, and deliver practical solutions.
• Business Understanding: Ability to understand business workflows and align Salesforce solutions with operational goals, user needs, and customer experience.

Preferred Qualifications

Nice to have:

• Salesforce Certifications: Salesforce Platform Developer I, Platform Developer II, Salesforce Administrator, or related Salesforce certifications are preferred.
• Advanced Integrations: Experience with MuleSoft, middleware platforms, ETL tools, third-party APIs, or enterprise integration patterns.
• Salesforce CPQ: Experience with Salesforce CPQ, Quote-to-Cash workflows, pricing rules, product rules, approvals, or quote templates is a plus.
• Experience Cloud: Experience building partner portals, customer portals, or community experiences using Salesforce Experience Cloud.
• DevOps for Salesforce: Experience with Copado, Gearset, Flosum, Jenkins, GitHub Actions, Azure DevOps, or similar Salesforce DevOps tools.
• Security & Compliance: Understanding of Salesforce security model, data privacy, audit requirements, authentication, OAuth, SAML, and role-based access control.
• Reporting & Analytics: Experience building Salesforce reports, dashboards, CRM analytics, and business performance views.
• Data Migration: Experience with data import, data cleanup, migration planning, deduplication, and data quality improvement.
• AI & Automation: Familiarity with Salesforce Einstein, AI-assisted CRM workflows, or intelligent automation is a plus.
• Technical Leadership: Ability to review code, guide junior developers, suggest best practices, and improve Salesforce development standards.

Why PredictSpring?

• Competitive salary and flexible payment methods.
• Opportunities for growth and professional development.
• Flexible working hours and remote work options.
• A collaborative, innovative, and inclusive work environment.
• Be part of a business-focused technology culture that values clear communication, quality delivery, and practical innovation.
• Work with global teams to build Salesforce solutions that improve customer operations, business workflows, and decision-making.

About PredictSpring

PredictSpring is a market-leading company shaping the future of omni-channel retail and modern POS technology. We help global retail and lifestyle brands deliver seamless, scalable, and modern customer experiences across digital and in-store channels.

We are looking for a highly skilled and experienced QA Automation Engineer with strong automation expertise and Upper C1 level English communication skills to join our team and help us strengthen software quality across our platform, products, and business operations.

In this role, you will design, develop, and maintain automated testing frameworks, validate product functionality, improve test coverage, and clearly communicate quality risks, defects, test results, and release readiness to engineering, product, and business teams. You will work closely with cross-functional stakeholders in English to clarify requirements, explain technical issues in simple business terms, support smooth and stable releases, improve testing efficiency, reduce manual effort, and help the team deliver better software faster.
 

Responsibilities

As a QA Automation Engineer, you will:

• Test Automation Development: Design, build, and maintain automated test scripts and test frameworks for web applications, APIs, backend services, and data-driven workflows.
• Test Planning & Strategy: Create clear test plans, test cases, and test strategies based on product requirements, user stories, acceptance criteria, and business priorities.
• Functional & Regression Testing: Execute automated functional, regression, smoke, integration, and end-to-end tests to ensure application stability across releases.
• API Testing: Validate REST APIs and backend services using tools such as Postman, REST Assured, Playwright API testing, or similar frameworks.
• UI Automation: Build and maintain UI automation tests using tools such as Selenium, Playwright, Cypress, or similar automation frameworks.
• CI/CD Integration: Integrate automated tests into CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar platforms.
• Defect Management: Identify, document, track, and verify software defects using tools such as Jira, Azure DevOps, or similar issue-tracking systems.
• Collaboration: Work closely with developers, product managers, business analysts, and other QA team members to understand requirements and ensure test coverage aligns with business needs.
• Test Coverage Improvement: Analyze gaps in current testing coverage and continuously improve automation scope, test reliability, and execution speed.
• Data Validation: Perform database and data validation testing using SQL to ensure data accuracy, consistency, and integrity across systems.
• Performance & Reliability Support: Support basic performance, load, and reliability testing when needed to help identify system bottlenecks and quality risks.
• Reporting & Documentation: Create clear test reports, defect summaries, release quality updates, and testing documentation for technical and non-technical stakeholders.
• Automation Optimization: Improve existing automation scripts by reducing flaky tests, increasing reusability, and applying best practices in test design.
• Quality Advocacy: Promote a quality-first mindset across the team and help improve QA processes, release readiness, and software delivery standards.

Requirements

We are looking for someone with:

• Communication: Excellent communication skills, specifically fluent verbal English (Upper C1 level), are mandatory to explain testing results, quality risks, and technical issues to both technical and non-technical stakeholders.
• Education: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent practical experience.
• Experience: Proven experience as a QA Automation Engineer, Software Test Engineer, SDET, or similar role with hands-on automation testing experience.
• Programming: Strong programming or scripting skills in one or more languages such as Java, Python, JavaScript, TypeScript, or C#.
• Automation Tools: Hands-on experience with automation frameworks such as Selenium, Playwright, Cypress, TestNG, JUnit, PyTest, or similar tools.
• API Testing: Strong experience testing REST APIs using Postman, REST Assured, Playwright, or similar tools.
• SQL & Data Validation: Good understanding of SQL for validating data, writing queries, and checking backend/database behavior.
• Testing Fundamentals: Strong understanding of software testing concepts, including functional testing, regression testing, integration testing, smoke testing, UAT, and end-to-end testing.
• CI/CD: Experience integrating automated tests into CI/CD pipelines and working with version control systems such as Git.
• Agile Environment: Experience working in Agile or Scrum teams, participating in sprint planning, backlog refinement, daily standups, and release cycles.
• Defect Tracking: Experience using Jira, Azure DevOps, TestRail, Zephyr, or similar tools for test case management and defect tracking.
• Problem Solving: Strong analytical and problem-solving skills with the ability to troubleshoot test failures, isolate root causes, and communicate issues clearly.
• Attention to Detail: Strong attention to detail and a quality-focused mindset to ensure software meets functional, business, and user experience expectations.

Preferred Qualifications

Nice to have:

• Advanced Automation Frameworks: Experience designing reusable, scalable, and maintainable automation frameworks from scratch.
• Cloud Platforms: Familiarity with cloud environments such as AWS, Azure, or Google Cloud for testing cloud-hosted applications.
• Containerization: Basic understanding of Docker, Kubernetes, or containerized test environments.
• Performance Testing: Familiarity with performance testing tools such as JMeter, k6, Gatling, or similar tools.
• Security Testing Awareness: Basic knowledge of security testing concepts, authentication flows, authorization checks, and common web vulnerabilities.
• Mobile Testing: Experience with mobile test automation tools such as Appium or similar frameworks.
• Data Testing: Experience testing data pipelines, ETL workflows, reports, dashboards, or data-heavy applications.
• Test Reporting: Experience building dashboards or reports to track test coverage, automation pass rate, defect trends, and release quality.
• AI-Assisted Testing: Familiarity with AI-assisted testing tools, test generation, self-healing tests, or intelligent test automation is a plus.
• Business Acumen: Ability to understand business goals and align testing priorities with product quality, customer experience, and delivery timelines.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact quality challenges at the intersection of commerce, cloud technology, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world's most recognized retail and lifestyle brands.
• Be part of a quality-driven culture that values reliable, scalable, and measurable business value.

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

About PredictSpring

PredictSpring is a market-leading company shaping the future of omni-channel retail and modern POS technology. We help global retail and lifestyle brands deliver seamless, scalable, and modern customer experiences across digital and in-store channels.

We are looking for a highly skilled and experienced Senior Java Full Stack Engineer to join our team and help build secure, scalable, and high-performance software solutions across our platform, products, and business operations.

In this role, you will work across backend development, frontend applications, cloud infrastructure, microservices, APIs, messaging systems, and CI/CD workflows. You will play a key role in building reliable enterprise-grade systems that support modern commerce, retail operations, and customer experience.

Responsibilities

As a Senior Java Full Stack Engineer, you will:

• Design, develop, and maintain scalable, secure, and high-performance backend services using Java and frameworks such as Spring Boot, Spring Cloud, Spring MVC, and Hibernate.
• Build and maintain application workflows, APIs, services, and platform features that support PredictSpring’s product and business operations.
• Develop and implement RESTful APIs and GraphQL services for seamless integration between frontend applications, backend systems, third-party platforms, and internal tools.
• Work with cloud-based infrastructure using AWS services such as EC2, S3, Lambda, and RDS, as well as Azure services such as Azure Functions, Azure SQL Database, and App Services.
• Build responsive and maintainable frontend features using modern JavaScript frameworks such as React.js, Angular, or Vue.js.
• Work with messaging and event-driven technologies such as Apache Kafka, RabbitMQ, ActiveMQ, and JMS.
• Utilize Docker and Kubernetes to containerize applications, manage microservices, streamline deployments, and support scalable production environments.
• Collaborate with cross-functional teams, including product, engineering, design, operations, and business stakeholders, to deliver high-quality software solutions.
• Troubleshoot, debug, monitor, and optimize applications for performance, scalability, reliability, and maintainability using tools such as JProfiler, New Relic, Prometheus, or similar platforms.
• Write clean, efficient, maintainable, and testable code following Java best practices, design patterns, and modern software engineering standards.
• Participate in code reviews, architecture discussions, technical planning, and continuous improvement of engineering practices.
• Implement and manage CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, AWS CodePipeline, and Azure DevOps.
• Ensure security, data protection, authentication, authorization, and secure communication across applications and services using tools and practices such as Spring Security, OAuth2, JWT, SSL/TLS, and OWASP guidelines.
• Stay current with the latest Java technologies, cloud platforms, DevOps practices, and industry trends, and apply relevant improvements to PredictSpring’s platform and operations.

Requirements

We are looking for someone with:

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts clearly and collaborate effectively across distributed teams.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Proven experience as a Full Stack Engineer or Full Stack Developer, with a strong focus on Java 8 or later for backend development.
• Strong hands-on experience with Java frameworks such as Spring Boot, Spring Cloud, Spring MVC, Hibernate, and JPA.
• Strong experience designing, building, and maintaining scalable backend systems, APIs, microservices, and enterprise-grade applications.
• Experience with cloud technologies such as AWS and Azure, especially AWS EC2, AWS Lambda, AWS RDS, Azure Functions, Azure App Services, and Azure SQL Database.
• Extensive experience with frontend technologies such as JavaScript, React.js, Angular, or Vue.js.
• Expertise in containerization and orchestration technologies such as Docker and Kubernetes.
• Solid experience with SQL and NoSQL databases, including SQL Server, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, or similar technologies.
• Experience with message brokers and event-driven architecture using tools such as Apache Kafka, RabbitMQ, or ActiveMQ.
• Strong working knowledge of RESTful API design and GraphQL for building reliable backend services.
• Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, and cloud deployment services such as AWS CodePipeline and Azure DevOps.
• Knowledge of unit testing and integration testing frameworks such as JUnit, Mockito, Spring Test, or similar tools.
• Understanding of security best practices in the Java ecosystem, including Spring Security, OAuth2, JWT, SSL/TLS, and secure API design.
• Experience with version control systems such as Git and collaborative development workflows.
• Familiarity with agile development methodologies, sprint-based workflows, and collaborative engineering practices.
• Strong problem-solving and debugging skills, with the ability to resolve complex technical issues across both frontend and backend layers.

Preferred Qualifications

Nice to have:

• Experience with microservices architecture and distributed system design.
• Experience with tools and frameworks such as Spring Cloud, Netflix OSS, Hystrix, Eureka, or Docker Swarm.
• Familiarity with DevOps practices and infrastructure-as-code tools such as Terraform, Ansible, and CloudFormation.
• Experience with serverless computing using AWS Lambda or Azure Functions for scalable, event-driven applications.
• Experience with real-time data processing using tools such as Kafka Streams or message queue-based architectures.
• Familiarity with monitoring, observability, and logging tools such as Prometheus, Grafana, ELK Stack, Datadog, New Relic, or similar platforms.
• Experience with Agile/Scrum methodologies and project management tools such as JIRA.
• Experience supporting production systems, monitoring application health, and improving reliability over time.
• Experience working with high-traffic, scalable, customer-facing SaaS or enterprise platforms.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact engineering challenges at the intersection of commerce, cloud technology, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and engineering-driven culture focused on building reliable, scalable, and measurable business value.

About PredictSpring

PredictSpring is a market-leading company shaping the future of omni-channel retail and modern POS technology. We help global retail and lifestyle brands deliver seamless, modern, and data-driven customer experiences across digital and in-store channels.

We are looking for a highly skilled Senior AI/ML Engineer – GenAI to design, develop, and deploy enterprise-grade AI solutions with a strong focus on Generative AI, Large Language Models, Retrieval-Augmented Generation, and Agentic AI systems.

In this role, you will build production AI applications, multi-agent workflows, scalable ML pipelines, and cloud-native AI solutions that create business value across our platform and operations.
 

Responsibilities

As a Senior AI/ML Engineer – GenAI, you will:

• Design, develop, and deploy enterprise Generative AI applications using foundation models such as GPT, Claude, Gemini, Llama, Mistral, and other open-source LLMs.
• Build advanced RAG solutions using vector databases, embeddings, reranking techniques, and hybrid search architectures.
• Develop prompt engineering strategies, evaluation frameworks, guardrails, and hallucination mitigation techniques.
• Fine-tune and optimize LLMs using techniques such as LoRA, QLoRA, PEFT, and reinforcement learning approaches.
• Integrate LLMs with enterprise applications, APIs, databases, and business workflows.
• Design and implement autonomous and semi-autonomous AI agents capable of reasoning, planning, memory management, tool usage, and workflow orchestration.
• Build multi-agent systems using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, MCP, A2A, or similar technologies.
• Build and maintain end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Develop predictive models, recommendation systems, anomaly detection solutions, NLP applications, and deep learning models.
• Design CI/CD pipelines for machine learning and AI applications.
• Deploy and manage AI workloads using Docker, Kubernetes, and cloud-native services.
• Monitor model drift, performance degradation, latency, and data quality.
• Architect cloud-native AI solutions on AWS, Azure, or Google Cloud Platform.
• Partner with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI solutions.
• Mentor junior engineers and contribute to architecture reviews, technical strategy, and AI best practices.

Requirements

We are looking for someone with:

• Upper C1 or higher English proficiency, with fluent spoken and written English.
• Ability to confidently participate in client-facing discussions, technical workshops, architecture reviews, stakeholder presentations, and cross-functional collaboration.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.
• 7+ years of software engineering, machine learning, or AI experience.
• Minimum 3+ years of hands-on experience developing and deploying Generative AI applications in production environments.
• Strong Python programming skills with experience building scalable backend systems.
• Extensive experience with machine learning frameworks including PyTorch, TensorFlow, scikit-learn, and Hugging Face.
• Proven experience developing RAG architectures and knowledge retrieval systems.
• Experience building Agentic AI solutions and multi-agent workflows.
• Strong understanding of vector databases, embeddings, semantic search, and retrieval optimization.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Strong understanding of MLOps principles, CI/CD, containerization, and model lifecycle management.

Preferred Qualifications

Nice to have:

• Experience with managed AI services such as AWS SageMaker, AWS Bedrock, Azure OpenAI, Azure ML, or Vertex AI.
• Experience with distributed computing platforms such as Databricks, Spark, or Ray.
• Experience with AI governance, responsible AI practices, model monitoring, and production AI observability.
• Experience with secure AI architectures, role-based permissions, auditability, and compliance controls.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, AI, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

About PredictSpring

PredictSpring is a market-leading company shaping the future of omni-channel retail and modern POS technology. We help global retail and lifestyle brands deliver seamless, modern, and data-driven customer experiences across digital and in-store channels.

We are looking for an experienced Senior C#/.NET Full Stack Engineer to join our team and help build scalable, secure, and high-performance software solutions across our platform, products, and business operations.

In this role, you will work across backend, frontend, cloud infrastructure, and deployment workflows, helping us deliver reliable enterprise-grade systems for modern omni-channel retail and POS experiences.

Responsibilities

As a Senior C#/.NET Full Stack Engineer, you will:

• Design, develop, and maintain scalable, secure, and high-performance applications using C# and .NET technologies.
• Build and maintain backend services, business logic, APIs, and application workflows that support PredictSpring’s platform and product operations.
• Develop and implement RESTful APIs to connect frontend applications, backend services, third-party systems, and internal tools.
• Work with cloud-based infrastructure on AWS and Azure to support scalable, reliable, and production-ready systems.
• Containerize applications using Docker and support deployment and orchestration workflows using Kubernetes.
• Collaborate with cross-functional teams, including product, engineering, design, operations, and business stakeholders, to deliver high-quality software solutions.
• Troubleshoot, debug, and optimize applications for performance, reliability, scalability, and maintainability.
• Write clean, efficient, maintainable, and testable code following software engineering best practices.
• Participate in code reviews, technical discussions, architecture decisions, and continuous improvement of development standards.
• Implement and improve CI/CD pipelines to streamline build, testing, deployment, and release processes.
• Ensure security, data protection, and reliability across applications, services, APIs, and cloud environments.
• Work with SQL and NoSQL databases to design, query, optimize, and maintain data-driven application features.
• Stay current with modern software engineering, cloud, DevOps, and full stack development practices, and apply relevant improvements to PredictSpring’s platform and operations.

Requirements

We are looking for someone with:

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts clearly and collaborate effectively across distributed teams.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Proven experience as a Full Stack Engineer or Full Stack Developer, with strong hands-on experience in C# and .NET technologies.
• Strong experience designing, building, and maintaining scalable backend systems, APIs, and enterprise-grade applications.
• Solid understanding and hands-on experience with AWS and Azure cloud services.
• Expertise in containerization and orchestration technologies such as Docker and Kubernetes.
• Strong experience with SQL and NoSQL databases, such as SQL Server, MongoDB, or similar technologies.
• Experience building and consuming RESTful APIs and integrating frontend and backend systems.
• Familiarity with frontend technologies such as JavaScript, React.js, Angular, or similar frameworks.
• Strong understanding of software architecture, clean code principles, debugging, performance optimization, and maintainable system design.
• Knowledge of version control systems such as Git.
• Familiarity with agile development methodologies, sprint-based workflows, and collaborative engineering practices.
• Experience with CI/CD processes and modern deployment pipelines.
• Strong problem-solving skills and the ability to analyze, debug, and resolve complex technical issues.

Preferred Qualifications

Nice to have:

• Experience with microservices architecture and distributed system design.
• Experience with serverless computing and cloud-native application development.
• Familiarity with DevOps practices and infrastructure-as-code tools such as Terraform.
• Understanding of cloud-native security services, application security, authentication, authorization, and data protection best practices.
• Experience with testing frameworks, including unit testing, integration testing, and UI testing.
• Experience working with high-traffic, scalable, customer-facing SaaS or enterprise platforms.
• Experience supporting production systems, monitoring application health, and improving reliability over time.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact engineering challenges at the intersection of commerce, cloud technology, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and engineering-driven culture focused on building reliable, scalable, and measurable business value.

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.

About PredictSpring

PredictSpring is a market-leading company shaping the future of omni-channel retail and modern POS technology. We help global retail and lifestyle brands deliver seamless, modern, and scalable customer experiences across digital and in-store channels.

We are looking for an experienced Senior Golang Full Stack Engineer to join our team and help build scalable, secure, and high-performance software solutions across our platform, products, and business operations.

In this role, you will contribute to both backend and frontend development, working with Go/Golang, modern frontend technologies, cloud infrastructure, containerization, and CI/CD workflows. You will help deliver reliable enterprise-grade systems that support modern commerce, retail operations, and customer experience.

Responsibilities

As a Senior Golang Full Stack Engineer, you will:

• Design, develop, and maintain scalable, secure, and high-performance applications using Go/Golang, JavaScript, and modern frontend technologies.
• Build and maintain backend services, APIs, business logic, and application workflows that support PredictSpring’s platform and product operations.
• Develop and implement RESTful APIs to integrate frontend applications, backend services, third-party systems, and internal tools.
• Work with cloud-based infrastructure on AWS and Azure to support scalable, reliable, and production-ready systems.
• Build responsive and maintainable frontend features using modern JavaScript frameworks such as React.js, Angular, or Vue.js.
• Utilize Docker and Kubernetes to containerize applications, streamline deployment, and support scalable production environments.
• Collaborate with cross-functional teams, including product, engineering, design, operations, and business stakeholders, to deliver high-quality software solutions.
• Maintain clear and effective communication throughout the development process, especially when working with distributed global teams.
• Troubleshoot, debug, and optimize applications for performance, scalability, reliability, and maintainability.
• Write clean, efficient, maintainable, and testable code following best practices in Go/Golang, JavaScript, and full stack development.
• Participate in code reviews, technical discussions, architecture decisions, and continuous improvement of engineering standards.
• Implement and manage CI/CD pipelines using AWS, Azure, and modern DevOps tools for efficient and automated deployments.
• Ensure security, data protection, and reliability across applications, services, APIs, and cloud environments.
• Stay current with the latest software engineering, cloud, DevOps, and full stack development practices, and apply relevant improvements to PredictSpring’s platform and operations.

Requirements

We are looking for someone with:

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts clearly and collaborate effectively across distributed teams.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Proven experience as a Full Stack Engineer or Full Stack Developer, with strong expertise in Go/Golang for backend services.
• Strong experience designing, building, and maintaining scalable backend systems, APIs, and enterprise-grade applications.
• Strong knowledge and hands-on experience with AWS and Azure cloud services.
• Extensive experience with JavaScript and modern frontend frameworks such as React.js, Angular, or Vue.js.
• Expertise in containerization and orchestration technologies such as Docker and Kubernetes.
• Proficiency with SQL and NoSQL databases, such as SQL Server, MongoDB, PostgreSQL, or similar technologies.
• Familiarity with frontend technologies such as HTML5, CSS, SASS, or LESS.
• Experience building and consuming RESTful APIs for seamless system integration.
• Knowledge of version control systems such as Git and collaborative development workflows.
• Strong problem-solving skills with the ability to troubleshoot complex issues across the full stack.
• Familiarity with agile development methodologies, sprint-based workflows, and collaborative engineering practices.
• Experience with CI/CD processes and modern deployment pipelines.
• Ability to work effectively with cross-functional teams across different time zones.

Preferred Qualifications

Nice to have:

• Experience with microservices architecture and distributed system design.
• Experience with serverless computing and cloud-native application development.
• Familiarity with DevOps practices and infrastructure-as-code tools such as Terraform and CloudFormation.
• Strong understanding of cloud-native security services, application security, authentication, authorization, and data protection best practices.
• Experience with testing frameworks, including unit testing, integration testing, and UI testing.
• Experience working with high-traffic, scalable, customer-facing SaaS or enterprise platforms.
• Experience supporting production systems, monitoring application health, and improving reliability over time.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact engineering challenges at the intersection of commerce, cloud technology, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and engineering-driven culture focused on building reliable, scalable, and measurable business value.