Specialist SWE

**Career Category** ------------------- Information Systems **Job Description** ------------------- **Specialist Software Engineer**  **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.  .