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 whereappropriate. + 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.