Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. It specializes in accelerating business transformation and delivering human-centric digital experiences. Apexon provides solutions in areas such as digital experience, analytics, AI, and cloud technologies. Additionally, it is recognized as a partner in the Salesforce ecosystem, helping organizations create integrated experiences. Founded in 1996, Apexon is committed to engineering intelligent enterprises
Responsibilities and Duties Collaborate with both internal and external stakeholders to identify business needs, prioritize objectives, define key performance indicators, and formulate a data-driven strategy. Lead data requirement workstreams with business stakeholders and clients by creating a cohesive process where detailed requirements around data exchange between various systems can be captured at the beginning of a new business initiative. Demonstrate leadership and initiative in gathering and analyzing information, structuring findings, and delivering presentations to stakeholders at all levels. Utilize machine learning algorithms and statistical techniques to extract insights and patterns from large datasets. Explore and experiment with new data sources, technologies, and analytical methodologies to enhance predictive modeling capabilities. Develop and deploy data-driven solutions that optimize business processes and improve decision-making processes. Collaborate with domain experts to translate business problems into analytical solutions and actionable recommendations. Conduct exploratory data analysis to identify trends, anomalies, and opportunities for optimization. Evaluate and validate model performance, ensuring accuracy, reliability, and scalability. Communicate complex analytical findings and technical concepts to non-technical stakeholders in a clear and concise manner. Adhere to project timelines to ensure timely achievement of project goals and objectives. Technical Skills Proficiency in Python for data analysis, manipulation, and modeling. Strong understanding of statistical concepts and methodologies for hypothesis testing, regression analysis, and predictive modeling. Experience with machine learning techniques, including supervised and unsupervised learning algorithms, neural networks, and ensemble methods, using frameworks such as TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models Familiarity with data visualization libraries such as Matplotlib, Seaborn, or ggplot2 for creating informative and visually appealing visualizations. Familiarity with Python data science libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling. Knowledge of database systems and SQL for data retrieval, manipulation, and storage. Understanding of big data technologies such as Hadoop, Spark, or Hive for processing and analyzing large volumes of data. Proficiency in data preprocessing techniques such as data cleaning, feature engineering, and dimensionality reduction. Experience with version control systems such as Git for managing code repositories and collaboration. Ability to work with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and deployment of machine learning models. Qualifications and Skills Bachelor’s degree (Masters preferred) in a discipline such as Computer Science, Applied Math, Applied Sciences, Engineering, etc. Experience in Payments Industry would be an asset but not mandatory Proven analytical skills in defining business needs into product requirements Proven ability to conduct and/or lead multiple projects with minimal oversight Excellent communication and interpersonal skills Unquestionable personal and business ethics and integrity
Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. It specializes in accelerating business transformation and delivering human-centric digital experiences. Apexon provides solutions in areas such as digital experience, analytics, AI, and cloud technologies. Additionally, it is recognized as a partner in the Salesforce ecosystem, helping organizations create integrated experiences. Founded in 1996, Apexon is committed to engineering intelligent enterprises
Responsibilities and Duties Collaborate with both internal and external stakeholders to identify business needs, prioritize objectives, define key performance indicators, and formulate a data-driven strategy. Lead data requirement workstreams with business stakeholders and clients by creating a cohesive process where detailed requirements around data exchange between various systems can be captured at the beginning of a new business initiative. Demonstrate leadership and initiative in gathering and analyzing information, structuring findings, and delivering presentations to stakeholders at all levels. Utilize machine learning algorithms and statistical techniques to extract insights and patterns from large datasets. Explore and experiment with new data sources, technologies, and analytical methodologies to enhance predictive modeling capabilities. Develop and deploy data-driven solutions that optimize business processes and improve decision-making processes. Collaborate with domain experts to translate business problems into analytical solutions and actionable recommendations. Conduct exploratory data analysis to identify trends, anomalies, and opportunities for optimization. Evaluate and validate model performance, ensuring accuracy, reliability, and scalability. Communicate complex analytical findings and technical concepts to non-technical stakeholders in a clear and concise manner. Adhere to project timelines to ensure timely achievement of project goals and objectives. Technical Skills Proficiency in Python for data analysis, manipulation, and modeling. Strong understanding of statistical concepts and methodologies for hypothesis testing, regression analysis, and predictive modeling. Experience with machine learning techniques, including supervised and unsupervised learning algorithms, neural networks, and ensemble methods, using frameworks such as TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models Familiarity with data visualization libraries such as Matplotlib, Seaborn, or ggplot2 for creating informative and visually appealing visualizations. Familiarity with Python data science libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling. Knowledge of database systems and SQL for data retrieval, manipulation, and storage. Understanding of big data technologies such as Hadoop, Spark, or Hive for processing and analyzing large volumes of data. Proficiency in data preprocessing techniques such as data cleaning, feature engineering, and dimensionality reduction. Experience with version control systems such as Git for managing code repositories and collaboration. Ability to work with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and deployment of machine learning models. Qualifications and Skills Bachelor’s degree (Masters preferred) in a discipline such as Computer Science, Applied Math, Applied Sciences, Engineering, etc. Experience in Payments Industry would be an asset but not mandatory Proven analytical skills in defining business needs into product requirements Proven ability to conduct and/or lead multiple projects with minimal oversight Excellent communication and interpersonal skills Unquestionable personal and business ethics and integrity
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
We’re looking for a Full Stack Lead with strong expertise in Node.js, React.js, and Google Cloud Platform (GCP) to develop, and scale modern web applications. The ideal candidate will balance hands-on technical development with some leadership, ensuring high-quality, scalable, and secure solutions are delivered on time.You’ll collaborate closely with product, design, and DevOps teams across India and North America, leading by example in code quality, design thinking, and engineering excellence.
Key ResponsibilitiesLead a team of full stack developers across time zones to deliver robust, scalable applications.Design and build RESTful APIs and microservices using Node.js (Express/Nest.js).Architect and implement front-end solutions with React.js, ensuring responsive, performant UI experiences.Deploy, monitor, and optimize applications on Google Cloud Platform (GCP) — including Cloud Run, Pub/Sub, and BigQuery.Collaborate with architects and product managers to define technical strategy, timelines, and deliverables.Review code, enforce best practices, and mentor junior developers.Implement CI/CD pipelines, automated testing, and DevOps practices to improve reliability and release cadence.Ensure system scalability, reliability, and security across all layers of the stack.
Required Qualifications10 years of full stack development experience, with 2+ years in a lead developer role.Strong proficiency in Node.js,and React.js Solid understanding of microservices architecture, RESTful APIs, and async programming.Hands-on experience deploying and managing applications on Google Cloud Platform (GCP).Familiarity with CI/CD tools (Jenkins, GitHub Actions, or GitLab CI) and containerization (Docker, Kubernetes).Proficient in JavaScript/TypeScript, SQL/NoSQL databases (PostgreSQL, MongoDB, Firestore).Experience in Agile/Scrum environments with global teams.Strong communication skills and the ability to collaborate effectively across geographies.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
We’re looking for a Full Stack Lead with strong expertise in Node.js, React.js, and Google Cloud Platform (GCP) to develop, and scale modern web applications. The ideal candidate will balance hands-on technical development with some leadership, ensuring high-quality, scalable, and secure solutions are delivered on time.You’ll collaborate closely with product, design, and DevOps teams across India and North America, leading by example in code quality, design thinking, and engineering excellence.
Key ResponsibilitiesLead a team of full stack developers across time zones to deliver robust, scalable applications.Design and build RESTful APIs and microservices using Node.js (Express/Nest.js).Architect and implement front-end solutions with React.js, ensuring responsive, performant UI experiences.Deploy, monitor, and optimize applications on Google Cloud Platform (GCP) — including Cloud Run, Pub/Sub, and BigQuery.Collaborate with architects and product managers to define technical strategy, timelines, and deliverables.Review code, enforce best practices, and mentor junior developers.Implement CI/CD pipelines, automated testing, and DevOps practices to improve reliability and release cadence.Ensure system scalability, reliability, and security across all layers of the stack.
Required Qualifications10 years of full stack development experience, with 2+ years in a lead developer role.Strong proficiency in Node.js,and React.js Solid understanding of microservices architecture, RESTful APIs, and async programming.Hands-on experience deploying and managing applications on Google Cloud Platform (GCP).Familiarity with CI/CD tools (Jenkins, GitHub Actions, or GitLab CI) and containerization (Docker, Kubernetes).Proficient in JavaScript/TypeScript, SQL/NoSQL databases (PostgreSQL, MongoDB, Firestore).Experience in Agile/Scrum environments with global teams.Strong communication skills and the ability to collaborate effectively across geographies.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
We are looking for a Senior Software Engineer with experience in building highly scalable solutions based on a microservices architecture. As a Senior Software Engineer, you will be working with a highly skilled cross functional team to enhance our core banking platform.
Responsibilities and Duties
Design and deliver high quality features and enhancements.Own the end-to-end delivery of large features within your team that could span 3+ months.Create technical design specifications in collaboration with other members of the engineering team.Provide estimates and actively participate in the sprint planning process.Produce highly secure solutions.Tune the performance of our distributed system to ensure they operate within our SLAs.Peer review other engineers’ code.Mentor other engineers to create good technical solutions to problems and ship code quickly to our customers.
Qualifications and Skills
Experience with cloud computing and container-based distributed systems (Docker).Experience working with relational databases (preferably MySQL) and high proficiency with SQL.Understanding of higher level RDBMS concepts (locking and transaction model, isolation levels, deadlocks, etc.).Significant experience with at least one dynamically typed, object-oriented programming. language (preference for Python).Great understanding of distributed systems and microservice architecture.Hands-on experience in using message brokers such as RabbitMQ.Deep understanding of restful API development.Demonstrated ability to work in a fast pace customer centric environment.5+ years of experience in software development.Excellent communication and organization skills.Proven experience using code repositories such as GitHub.Bachelor’s degree in Computer Science, Software Engineering, or equivalent.Familiar with *nix like environments.Build and integration experience with Payroll Providers and Time & Attendance platforms is highly desirable.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
We are looking for a Senior Software Engineer with experience in building highly scalable solutions based on a microservices architecture. As a Senior Software Engineer, you will be working with a highly skilled cross functional team to enhance our core banking platform.
Responsibilities and Duties
Design and deliver high quality features and enhancements.Own the end-to-end delivery of large features within your team that could span 3+ months.Create technical design specifications in collaboration with other members of the engineering team.Provide estimates and actively participate in the sprint planning process.Produce highly secure solutions.Tune the performance of our distributed system to ensure they operate within our SLAs.Peer review other engineers’ code.Mentor other engineers to create good technical solutions to problems and ship code quickly to our customers.
Qualifications and Skills
Experience with cloud computing and container-based distributed systems (Docker).Experience working with relational databases (preferably MySQL) and high proficiency with SQL.Understanding of higher level RDBMS concepts (locking and transaction model, isolation levels, deadlocks, etc.).Significant experience with at least one dynamically typed, object-oriented programming. language (preference for Python).Great understanding of distributed systems and microservice architecture.Hands-on experience in using message brokers such as RabbitMQ.Deep understanding of restful API development.Demonstrated ability to work in a fast pace customer centric environment.5+ years of experience in software development.Excellent communication and organization skills.Proven experience using code repositories such as GitHub.Bachelor’s degree in Computer Science, Software Engineering, or equivalent.Familiar with *nix like environments.Build and integration experience with Payroll Providers and Time & Attendance platforms is highly desirable.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
AI QE Engineer – Job Description:Role Summary We are looking for a AI QA Engineer with strong automation expertise and hands-on experience validating LLMs, GenAI workflows, and AI-driven applications.This role involves building automated test suites, validating AI outputs, ensuring system reliability, and contributing to the quality strategy for next-generation AI features
Core Experience• 4–10 years as a Software Engineer, SDET, or Automation Engineer.• Strong coding skills in Python, TypeScript, or Java.• Hands-on experience developing automation scripts, tools, or frameworks.• Practical experience using LLMs, prompt engineering, and evaluating AI generated outputs.• Familiarity with agentic AI systems and exposure to tools like LangGraph, AutoGen, or CrewAI.• Basic understanding of Model Context Protocol (MCP) or context-aware workflow automation (nice to have). AI / ML Technologies• Practical experience with AI/ML frameworks: LangChain, Hugging Face, GPT models, vector databases, RAG pipelines.• Experience with ML/DL libraries such as: Scikit-learn, PyTorch, TensorFlow, Keras, Transformers, OpenCV.• Ability to work with embeddings, similarity search, and content evaluation metrics. GenAI & AI Agent Development• Ability to integrate or build GenAI components, including RAG pipelines or agent based workflows.• Support model evaluation tasks such as: Output quality checks, Hallucination detection, Prompt validation, Regression checks for model updates
Automation & Quality Engineering• Experience building automation using Python, PyTest, Selenium, Playwright, or API testing libraries.• Ability to design and execute automated tests for: Functional Integration, API ,Basic performance & reliability testing• Hands-on experience testing RESTful APIs and building automated API suites. Cloud, DevOps & CI/CD• Exposure to deploying AI or automation solutions on AWS.• Working knowledge of CI/CD pipelines, including: Automated testing ,Model validation steps Versioning & artifact management SDLC & Collaboration• Strong understanding of the software development lifecycle, including requirements, development, testing, and defect analysis.• Ability to collaborate with Developers, Data Scientist, and QE teams, clearly communicating progress, risks, and results.• Skilled in documenting and tracking defects and participating in defect triage.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
AI QE Engineer – Job Description:Role Summary We are looking for a AI QA Engineer with strong automation expertise and hands-on experience validating LLMs, GenAI workflows, and AI-driven applications.This role involves building automated test suites, validating AI outputs, ensuring system reliability, and contributing to the quality strategy for next-generation AI features
Core Experience• 4–10 years as a Software Engineer, SDET, or Automation Engineer.• Strong coding skills in Python, TypeScript, or Java.• Hands-on experience developing automation scripts, tools, or frameworks.• Practical experience using LLMs, prompt engineering, and evaluating AI generated outputs.• Familiarity with agentic AI systems and exposure to tools like LangGraph, AutoGen, or CrewAI.• Basic understanding of Model Context Protocol (MCP) or context-aware workflow automation (nice to have). AI / ML Technologies• Practical experience with AI/ML frameworks: LangChain, Hugging Face, GPT models, vector databases, RAG pipelines.• Experience with ML/DL libraries such as: Scikit-learn, PyTorch, TensorFlow, Keras, Transformers, OpenCV.• Ability to work with embeddings, similarity search, and content evaluation metrics. GenAI & AI Agent Development• Ability to integrate or build GenAI components, including RAG pipelines or agent based workflows.• Support model evaluation tasks such as: Output quality checks, Hallucination detection, Prompt validation, Regression checks for model updates
Automation & Quality Engineering• Experience building automation using Python, PyTest, Selenium, Playwright, or API testing libraries.• Ability to design and execute automated tests for: Functional Integration, API ,Basic performance & reliability testing• Hands-on experience testing RESTful APIs and building automated API suites. Cloud, DevOps & CI/CD• Exposure to deploying AI or automation solutions on AWS.• Working knowledge of CI/CD pipelines, including: Automated testing ,Model validation steps Versioning & artifact management SDLC & Collaboration• Strong understanding of the software development lifecycle, including requirements, development, testing, and defect analysis.• Ability to collaborate with Developers, Data Scientist, and QE teams, clearly communicating progress, risks, and results.• Skilled in documenting and tracking defects and participating in defect triage.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
We're looking for a Full Stack Lead with strong expertise in Node.js, React.js, and Google Cloud Platform (GCP) to develop, and scale modern web applications. The ideal candidate will balance hands-on technical development with some leadership , ensuring high-quality, scalable, and secure solutions are delivered on time. You'll collaborate closely with product, design, and DevOps teams across India and North America, leading by example in code quality, design thinking, and engineering excellence.
Key Responsibilities Lead a team of full stack developers across time zones to deliver robust, scalable applications. Design and build RESTful APIs and microservices using Node.js (Express/Nest.js) . Architect and implement front-end solutions with React.js , ensuring responsive, performant UI experiences. Deploy, monitor, and optimize applications on Google Cloud Platform (GCP) - including Cloud Run, Pub/Sub, and BigQuery. Collaborate with architects and product managers to define technical strategy, timelines, and deliverables. Review code, enforce best practices, and mentor junior developers. Implement CI/CD pipelines, automated testing, and DevOps practices to improve reliability and release cadence. Ensure system scalability, reliability, and security across all layers of the stack.
Required Qualifications 10 years of full stack development experience, with 2+ years in a lead developer role. Strong proficiency in Node.js,and React.js Solid understanding of microservices architecture, RESTful APIs , and async programming . Hands-on experience deploying and managing applications on Google Cloud Platform (GCP) . Familiarity with CI/CD tools (Jenkins, GitHub Actions, or GitLab CI) and containerization (Docker, Kubernetes) . Proficient in JavaScript/TypeScript , SQL/NoSQL databases (PostgreSQL, MongoDB, Firestore). Experience in Agile/Scrum environments with global teams. Strong communication skills and the ability to collaborate effectively across geographies.
We are a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 28 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
AI QE Engineer - Job Description: Role Summary We are looking for a AI QA Engineer with strong automation expertise and hands-on experience validating LLMs, GenAI workflows, and AI-driven applications. This role involves building automated test suites, validating AI outputs, ensuring system reliability, and contributing to the quality strategy for next-generation AI features
Core Experience • 4-10 years as a Software Engineer, SDET, or Automation Engineer. • Strong coding skills in Python, TypeScript, or Java. • Hands-on experience developing automation scripts, tools, or frameworks. • Practical experience using LLMs, prompt engineering, and evaluating AI generated outputs. • Familiarity with agentic AI systems and exposure to tools like LangGraph, AutoGen, or CrewAI. • Basic understanding of Model Context Protocol (MCP) or context-aware workflow automation (nice to have). AI / ML Technologies • Practical experience with AI/ML frameworks: LangChain, Hugging Face, GPT models, vector databases, RAG pipelines. • Experience with ML/DL libraries such as: Scikit-learn, PyTorch, TensorFlow, Keras, Transformers, OpenCV. • Ability to work with embeddings, similarity search, and content evaluation metrics. GenAI & AI Agent Development • Ability to integrate or build GenAI components, including RAG pipelines or agent based workflows. • Support model evaluation tasks such as: Output quality checks, Hallucination detection, Prompt validation, Regression checks for model updates
Automation & Quality Engineering • Experience building automation using Python, PyTest, Selenium, Playwright, or API testing libraries. • Ability to design and execute automated tests for: Functional Integration, API ,Basic performance & reliability testing • Hands-on experience testing RESTful APIs and building automated API suites. Cloud, DevOps & CI/CD • Exposure to deploying AI or automation solutions on AWS. • Working knowledge of CI/CD pipelines, including: Automated testing ,Model validation steps Versioning & artifact management SDLC & Collaboration • Strong understanding of the software development lifecycle, including requirements, development, testing, and defect analysis. • Ability to collaborate with Developers, Data Scientist, and QE teams, clearly communicating progress, risks, and results. • Skilled in documenting and tracking defects and participating in defect triage.
