Java Developer

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

About the Role

Pendo is looking for a Software Engineer to help build and scale the platform that powers our integrations with enterprise systems such as Salesforce, Slack, Segment, and other partner tools. This team develops the services, APIs, data pipelines, and user interfaces that enable customers to seamlessly connect Pendo into their product and data ecosystems.

In this role, you will primarily focus on building scalable backend systems while also contributing to the frontend experiences that allow customers to configure, manage, and monitor integrations. You’ll collaborate closely with product managers, designers, and infrastructure teams to deliver reliable, high-performance capabilities used by millions of users.

What You'll Do

• Design and build scalable backend services and APIs that power Pendo’s integrations platform.
• Develop and maintain distributed, event-driven data pipelines that process and sync high volumes of behavioral and product analytics data.
• Contribute to frontend applications that allow customers to configure, manage, and monitor integrations and data workflows.
• Lead technical initiatives from design through implementation, testing, and production rollout.
• Integrate with third-party APIs and enterprise platforms using technologies such as REST, webhooks, and OAuth.
• Collaborate with product, design, infrastructure, and partner teams to translate business needs into high-quality technical solutions.
• Use modern development workflows and AI-powered tools to improve developer productivity and streamline engineering processes.
• Participate in design reviews and promote best practices in testing, observability, performance, and system reliability.
• Contribute to improving platform scalability, availability, and operational excellence.

What We're Looking For

• Experience building backend services, APIs, or distributed systems.
• Experience developing modern web applications using frameworks such as Vue, React, or Angular.
• Strong proficiency in at least one backend language such as Go, Java, Python, or C++.
• Experience working with cloud infrastructure such as AWS or GCP.
• Familiarity with distributed systems, event-driven architectures, or high-throughput data pipelines.
• Experience writing and maintaining unit, integration, and end-to-end tests.
• Strong collaboration and communication skills.

Nice to Have

• Experience building integration platforms or working with third-party APIs.
• Familiarity with authentication models such as OAuth and enterprise SaaS integrations.
• Experience working with analytics or behavioral event data.
• Experience leveraging AI-assisted development tools or working with modern AI workflows.

Technologies We Use

• Frontend: Vue, Vuex, React, Angular, Highcharts, Jest, Cypress
• Backend: Go, Java, Python, C++
• Cloud & Data: AWS, GCP, Redis, Pub/Sub, SQL/NoSQL
• AI / ML: GenAI, LLMs, LangChain, MLOps

Required Skill Set

Software Engineer/Senior Software Engineer/Lead Engineer-Java

· Experience in Core Java 5.0 and above, Angular, Data Structures, OOPS, Multithreading, Algorithms, Collections, Unix/Linux

· Possess good architectural knowledge and be aware of enterprise application design patterns.

· Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.

· Good development experience with RDBMS

· Good knowledge of multi-threading and high volume server side development

Basic working knowledge of Unix/Linux

· Excellent problem solving and coding skills in Java

· Strong interpersonal, communication and analytical skills.

· Should have the ability to express their design ideas and thoughts.

Job Brief-

·        Understand product requirements and come up with solution approaches

·        Build and enhance large scale domain centric applications

·        Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

Job Description: We are seeking a talented Java Full Stack Developer to join our team.

We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular.

You will collaborate with cross-functional teams to define, design, and ship new features, and you will work closely with Architects to ensure the technical feasibility of designs and implement them accordingly.

Required Skills: 

• Exp. - 5 to 9 years. 
• Experience in Core Java 8 and above, Spring (including Core, WebMvc, Batch, Cloud etc). 
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should be able to analyze, design, develop and test complex, low-latency client-facing applications. 
• Develop user interfaces for modern web applications using Angular. 
• Experience with HTML5, CSS3, and JavaScript. 
• Good development experience with RDBMS, preferably DB2/Sybase databases. 
• Good knowledge of multi-threading and high-volume server-side development. 
• Basic working knowledge of Unix/Linux. 
• Excellent problem solving and coding skills in Java. 
• Strong interpersonal, communication and analytical skills. 
• Should be able to express their design ideas and thoughts. 

Good to have Skills: 

• Prior experience in investment banking / capital markets. 
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. 
• Knowledge of DevOps practices and CI/CD pipelines. 
• Familiarity with Agile methodologies. 
• Contributions to open-source projects. 
• Relevant certifications (e.g., Angular, Java). 

Key Responsibilities: 34249 

• Feature Development: Design, develop, and maintain new features and enhancements across the stack.
• Front-End: Build intuitive, responsive UIs using Angular or React.
• Back-End: Develop scalable APIs and services using Python (preferred), Java/Spring, or Node.js.
• Cloud Deployment: Deploy and manage applications on Google Cloud Platform (GCP) — familiarity with services like App Engine, Cloud Functions, Kubernetes is expected.
• Performance Tuning: Identify and optimize performance bottlenecks.
• Code Quality: Participate in code reviews and maintain high standards through unit testing and automation.
• DevOps & CI/CD: Collaborate on deployment pipelines using Tekton, Terraform, and other DevOps tools.
• Cross-Functional Collaboration: Work closely with Product Managers, UI/UX Designers, and fellow Engineers in an agile environment.

Must-Have Skills:

• Strong development expertise in Python (preferred), Angular, and GCP
• Understanding of DevOps practices
• Experience with SDLC, agile methodologies, and unit testing

Good to Have (Nice-to-Haves):

• Hands-on experience with:
• Tekton, Terraform, CI/CD pipelines
• Large Language Models (LLMs) integration
• AWS/Azure (in addition to GCP)
• Contributions to open-source projects
• Familiarity with API design and microservices architecture

Educational Qualification:

• Required: Bachelor’s Degree in Computer Science, Engineering, or related discipline

• Must Have worked in a product development for minimum of 1 years 
• Must Understand the Product life cycle (Requirement analysis/ design/architecture).
• Must Have hands on Coding Experience in J2EE technologies, Core Java, JavaScript, Web services SOAP, RESTful services
• Good experience on any one application server (WebLogic, WebSphere, Apache servers etc.).
• Database experience in any one DB like Oracle/ MySQL/MS SQL etc.
• Knowledge / Experience with any one open source development tools and frameworks (Eclipse, ANT, Junit, PMD, SVN etc.)
• Ability to understand UML design diagrams. Ideally should have designed some modules in prior projects using OOAD and UML.
• Extensive experience with multi-tier transactional architecture and design.
• Passionate about test driven, clean code, automatically tested and continuous deployment

Good to have:

• Any prior Work or Knowledge on newer technologies like Big data cloud, Hadoop and spark)
• Any prior Work or Knowledge on NoSQL, ORM, AWS Services (EC2, SNS, SQS, S3, Cloudfront)
• Any prior Work or Knowledge/ MOOC on Machine Learning and AI.
• Experience in performance engineering domain (testing, tuning, profiling) will be a definite add-on.
• Expertise with identity management, authentication and information security best practices
• Expertise in working with complex cross-domain applications.