Career Category

Engineering

Role Description

We are seeking an experienced Specialist Software Engineer to lead the design, development, deployment, and operation of scalable enterprise software solutions. This role combines full-stack development, cloud engineering, DevOps, application security, system reliability, and AI-enabled solution development.

The ideal candidate has strong hands-on experience with React, Vite, FastAPI, Python, TypeScript or JavaScript, APIs, microservices, AWS, containerization, CI/CD, DevSecOps, and production operations. The role will provide technical leadership, establish engineering standards, mentor developers, and collaborate with product, design, data, quality, cybersecurity, and platform teams.

Roles and Responsibilities

- Lead the design, development, testing, deployment, and support of complex enterprise software solutions.

- Own software initiatives from requirements and architecture through production deployment and operational support.

- Manage technical scope, risks, dependencies, estimates, and delivery timelines.

- Translate business requirements into scalable, secure, resilient, and maintainable solutions.

- Develop responsive front-end applications using React, Vite, and TypeScript.

- Develop back-end services, RESTful APIs, integrations, and data-access components using Python and FastAPI.

- Build cloud-native solutions using microservices, serverless technologies, containers, APIs, and event-driven patterns.

- Integrate applications with enterprise systems, identity platforms, databases, cloud services, and third-party solutions.

- Develop AI-enabled applications using machine learning, Generative AI, LLMs, and Retrieval-Augmented Generation where appropriate.

- Collaborate with data scientists and ML engineers to integrate predictive models and AI capabilities into applications.

- Establish reusable design patterns, coding standards, engineering practices, and technical documentation.

- Lead architecture, design, and code reviews to ensure quality, security, performance, and maintainability.

- Apply secure software-development practices and integrate security testing into the software-development lifecycle.

- Use tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify, or equivalent platforms to identify and remediate security and code-quality findings.

- Implement unit, integration, regression, performance, and automated acceptance testing.

- Develop CI/CD pipelines, automated deployments, infrastructure automation, and security quality gates.

- Implement application monitoring, logging, tracing, alerting, and operational dashboards.

- Improve application availability, scalability, reliability, performance, and disaster-recovery readiness.

- Lead troubleshooting, root-cause analysis, incident response,



and remediation of complex production issues.

- Provide technical guidance, coaching, and mentorship to junior and mid-level engineers.

- Collaborate with product managers, designers, QA, architects, DevOps, cybersecurity, data teams, and business stakeholders.

- Participate in Agile planning, estimation, roadmap development, and delivery activities.

- Evaluate emerging technologies based on business value, security, scalability, maintainability, and cost.

- Participate in production support activities, including occasional off-hours support.

Basic Qualifications and Experience

- Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, Business, or a related field, with 8–12 years of relevant skilled experience.

Must-Have Skills

- Strong foundation in software architecture, object-oriented design, design patterns, and software-engineering best practices.

- Advanced hands-on experience with full-stack software development.

- Strong proficiency in Python, TypeScript or JavaScript, and SQL.

- Strong proficiency in FastAPI, including API design, validation, asynchronous processing, authentication, testing, and production deployment.

- Strong experience developing modern web applications using React and Vite.

- Experience with front-end state management, routing, reusable components, responsive design, accessibility, and performance optimization.

- Experience designing RESTful APIs, microservices, asynchronous integrations, and event-driven solutions.

- Strong cloud-native development experience, with AWS preferred.

- Experience with relevant AWS services such as Lambda, ECS, EKS, API Gateway, S3, RDS, DynamoDB, CloudWatch, EventBridge, and Step Functions.

- Experience with Docker, Kubernetes, Git, CI/CD, automated testing, and production deployment.

- Strong knowledge of secure software development, OWASP Top 10, authentication, authorization, RBAC, encryption, secrets management, and dependency security.

- Hands-on experience with application-security and code-quality tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify, or equivalent platforms.

- Experience integrating code, dependency, container, and security scanning into CI/CD pipelines.

- Experience assessing and remediating security vulnerabilities and code-quality findings.

- Experience designing highly available, scalable, fault-tolerant, and maintainable systems.

- Experience with monitoring, logging, tracing,



alerting, and production troubleshooting.

- Experience leading technical designs, code reviews, and complex software deliveries.

- Demonstrated ability to mentor engineers and establish reusable engineering standards.

- Strong Agile delivery, analytical, debugging, and problem-solving skills.

AI and Machine Learning Capabilities

- Experience incorporating AI or machine learning capabilities into enterprise applications.

- Understanding of model integration, model serving, APIs, and production deployment patterns.

- Familiarity with frameworks such as Scikit-learn, TensorFlow, PyTorch, or equivalent technologies.

- Experience developing Generative AI applications using LLMs, prompt engineering, embeddings, vector search, or RAG.

- Understanding of AI security, privacy, evaluation, monitoring, governance, and responsible AI.

Good-to-Have Skills

- Experience with AWS-native serverless and cloud-native architectures.

- Experience with Infrastructure as Code using Terraform, AWS CDK, CloudFormation, or equivalent tools.

- Experience with observability tools such as CloudWatch, Prometheus, Grafana, Splunk, or OpenTelemetry.

- Experience with relational and NoSQL databases and performance optimization.

- Experience with Kafka, Amazon Kinesis, Amazon SQS, or other asynchronous and streaming technologies.

- Experience with MLOps platforms such as MLflow, SageMaker, Kubeflow, or Airflow.

- Experience with Apache Spark, PySpark, Databricks, or other data-processing technologies.

- Experience with threat modeling, penetration testing, software composition analysis, and software supply-chain security.

- Experience implementing DevSecOps practices across web, API, cloud, and container environments.

- Experience with disaster recovery, business continuity, and operational-readiness planning.

- Experience within biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry.

Preferred Certifications

- AWS Certified Developer, Solutions Architect, or DevOps Engineer certification.

- Relevant cloud, Kubernetes, software architecture, security, or DevSecOps certification.

- Relevant AI, machine learning, or Generative AI certification.

- Scaled Agile Framework certification.

Soft Skills

- Excellent analytical, troubleshooting, and decision-making skills.

- Strong verbal, written, presentation, and stakeholder-communication skills.

- Ability to work effectively with global and virtual teams.

- High degree of ownership, initiative, and self-motivation.

- Ability to manage multiple priorities, dependencies, and delivery risks.

- Strong leadership, mentoring, collaboration, and influencing skills.

- Commitment to quality, security, reliability, and operational excellence.

.

📌 Specialist Software Engineer (India)
🏢 AMGEN
📍 India