Senior Software Engineer

DigiCert; Bengaluru; On-site; INR 1,500,000 - 3,200,000; Full time

Job summary

DigiCert is seeking a highly experienced Full Stack Senior Software Engineer with deep expertise in Java and Python, strong cloud-native development on AWS, and hands-on experience building Agentic AI workflows and intelligent applications.

You will collaborate with product managers, UX designers and architects to define requirements, design, develop, test, and maintain software that meets high-quality standards and performance benchmarks.

Qualifications

• Bachelor's degree or equivalent experience in computer science or related field.
• 5+ years of professional software development experience.
• Proficiency in Java and Python and strong software development principles.
• Hands-on experience with AWS services (EC2, ECS/EKS, Lambda, S3, RDS, SQS/SNS, API Gateway, Bedrock, SageMaker).
• Hands-on experience with Spring Boot, RESTful APIs, microservices, and cloud-native app development.
• Experience building Generative AI applications using LLMs, RAG, embeddings, and prompt engineering.
• Experience developing AI agents and Agentic AI workflows using frameworks like LangChain/LangGraph/CrewAI or AWS AgentCore/Strands.
• Experience deploying AI/ML applications with MLOps, CI/CD pipelines, and model lifecycle management.
• Proficiency with Docker, Kubernetes, relational and NoSQL databases, and Agile practices.
• Secure coding, strong problem solving and communication skills.

Responsibilities

• Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications.
• Design, develop, test, and maintain software applications, ensuring high quality and performance.
• Write clean, efficient, and maintainable code following standards and best practices.
• Conduct code reviews to improve quality and consistency with architecture.
• Analyze, troubleshoot, and debug product defects and provide timely customer solutions.
• Design, develop, scale, and manage robust APIs for secure distributed communications.
• Establish and enforce API and data governance for enterprise integrations.
• Stay up to date on emerging technologies to improve development processes and tools.
• Contribute to architectural decisions and drive technical innovation.
• Design and implement end-to-end full stack features across Java/Python back-end, RESTful APIs, and front-end with AWS cloud-native infra.
• Architect and develop Agentic AI workflows with multi-agent orchestration and tool-use patterns.

Skills

Java

Python

AWS

Spring Boot

RESTful APIs

Microservices

Docker

Kubernetes

CI/CD

Terraform

Agentic AI workflows

LangChain

Education

Bachelor's degree in Computer Science or related

Tools

GitHub Actions

Harness

Jenkins

Job description

DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future atwww.digicert.com

Job summary

We are seeking a highly experienced Full Stack Senior Software Engineer with deep expertise in Java and Python, strong cloud-native development skills on AWS, and hands‑on experience building Agentic AI workflows and intelligent applications.

What you will do

• Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications.
• Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks.
• Write clean, efficient, and maintainable code, in accordance with coding standards and best practices.
• Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture.
• Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues.
• Design, develop, scale, and manage robust APIs to ensure seamless and secure communication across distributed systems and external platforms.
• Establish, implement, and enforce strict API and data governance policies to ensure security, compliance, and architectural consistency across all enterprise integrations.
• Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools.
• Contribute to architectural decisions and help drive technical innovation within the team.
• Design and implement end‑to‑end full stack features spanning Java/Python back‑end services, RESTful APIs, and modern front‑end components integrated with cloud‑native AWS infrastructure.
• Architect and develop Agentic AI workflows — including multi‑agent orchestration, tool‑use patterns, and autonomous task pipelines — leveraging frameworks such as LangChain, LangGraph, CrewAI, or AWS strands/Agentic core.

What you will have

• Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent experience).
• 5+ years of professional experience in a software development role.
• Proficiency in Java and Python and a strong grasp of software development principles.
• Deep, hands‑on expertise with AWS services including EC2, ECS/EKS, Lambda, S3, RDS, SQS/SNS, API Gateway, Bedrock, and SageMaker, with a strong preference for AWS‑first architecture decisions.
• Hands‑on experience with Spring Boot, RESTful APIs, microservices, and cloud‑native application development.
• Experience building Generative AI applications using LLMs (GPT, Claude, Llama, etc.), RAG, embeddings, and prompt engineering.
• Experience developing AI agents and Agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI, or AWS AgentCore/Strands.
• Experience deploying AI/ML applications with MLOps, CI/CD pipelines, and model lifecycle management.
• Proficiency with Docker, Kubernetes, relational and NoSQL databases, and Agile development practices.
• Strong problem‑solving, communication, and secure software development skills.
• Experience with Infrastructure as Code (Terraform/CloudFormation) and DevOps tools such as GitHub Actions, Harness, or Jenkins.
• Exceptional problem‑solving skills and the ability to analyse and address complex technical issues.

Nice to have

• List preferred qualifications here
• Experience with GraphQL, Kafka, Databricks, or distributed data platforms.
• Experience with OpenTelemetry, Prometheus, Grafana, or New Relic.
• Experience mentoring engineers and contributing to architecture and technical strategy.
• Experience developing and deploying AI applications including chatbots, virtual assistants and other NLP powered tools.
• Develop, fine‑tune and deploy LLM‑based solutions using AWS services and tools.
• Experience with MLOps, CI/CD pipelines for ML models, model monitoring and lifecycle management.
• Experience in using Blackduck, SonarQube, FOSSA or similar tools.
• Knowledge of both relational (MySQL, MariaDB) and NoSQL/non‑relational databases.
• Application of secure coding practices and methodologies.
• A passion for unit testing and consistently delivering high‑quality code.
• Generous time off policies
• Education, wellness and lifestyle support

To protect candidate information and maintain a secure hiring process, all applications must be submitted through our careers portal. Resumes or CVs sent directly via email will not be reviewed or considered.