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.
