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 professional 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.