{"id":46699,"url":"https://alion.io/job/amgen-specialist-software-engineer","title":"Specialist Software Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":436,"ghost_share":0.002,"stale_share":0.833,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Checkmarx","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fortify","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OWASP","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snyk","optional":false},{"name":"SonarQube","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"Veracode","optional":false},{"name":"Vite","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS CDK","optional":true},{"name":"CloudFormation","optional":true},{"name":"Databricks","optional":true},{"name":"Grafana","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"Splunk","optional":true},{"name":"Terraform","optional":true},{"name":"Threat Modeling","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-16T08:54:53Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":70},"description":"Career Category\nEngineeringJob Description\nRole Description\nWe 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.\nThe 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, establishengineering standards, mentor developers, and collaborate with product, design, data, quality, cybersecurity, and platform teams.\nRoles and Responsibilities\nLead the design, development, testing, deployment, and support of complex enterprise software solutions.\n\nOwn software initiatives from requirements and architecture through production deployment and operational support.\n\nManage technical scope, risks, dependencies, estimates, and delivery timelines.\n\nTranslate business requirements into scalable, secure, resilient, and maintainable solutions.\n\nDevelop responsive front-end applications using React, Vite, and TypeScript.\n\nDevelop back-end services, RESTful APIs, integrations, and data-access components using Python and FastAPI.\n\nBuild cloud-native solutions using microservices, serverless technologies, containers, APIs, and event-driven patterns.\n\nIntegrate applications with enterprise systems, identity platforms, databases, cloud services, and third-party solutions.\n\nDevelop AI-enabled applications using machine learning, Generative AI, LLMs, and Retrieval-Augmented Generation whereappropriate.\n\nCollaborate with data scientists and ML engineers to integrate predictive models and AI capabilities into applications.\n\nEstablish reusable design patterns, coding standards, engineering practices, and technical documentation.\n\nLead architecture, design, and code reviews to ensure quality, security, performance, and maintainability.\n\nApply secure software-developmentpractices and integrate security testing into the software-developmentlifecycle.\n\nUse tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify, or equivalent platforms to identifyand remediate security and code-quality findings.\n\nImplement unit, integration, regression, performance, and automated acceptance testing.\n\nDevelop CI/CD pipelines, automated deployments, infrastructure automation, and security quality gates.\n\nImplement application monitoring, logging, tracing, alerting, and operational dashboards.\n\nImprove application availability, scalability, reliability, performance, and disaster-recovery readiness.\n\nLead troubleshooting, root-cause analysis, incident response, and remediation of complex production issues.\n\nProvidetechnical guidance, coaching, and mentorship to junior and mid-level engineers.\n\nCollaborate with product managers, designers, QA, architects, DevOps, cybersecurity, data teams, and business stakeholders.\n\nParticipate in Agile planning, estimation, roadmap development, and delivery activities.\n\nEvaluate emerging technologies based on business value, security, scalability, maintainability, and cost.\n\nParticipate in production support activities, including occasional off-hourssupport.\n\nBasic Qualifications and Experience\nBachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, Business, or a related field, with 8-12 years of relevant professional experience.\n\nMust-Have Skills\nStrong foundationin software architecture, object-oriented design, design patterns, and software-engineering best practices.\n\nAdvanced hands-on experience with full-stack software development.\n\nStrong proficiencyin Python, TypeScript or JavaScript, and SQL.\n\nStrong proficiencyin FastAPI, including API design, validation, asynchronous processing, authentication, testing, and production deployment.\n\nStrong experience developing modern web applications using React and Vite.\n\nExperience with front-end state management, routing, reusable components, responsive design, accessibility, and performance optimization.\n\nExperience designing RESTful APIs, microservices, asynchronous integrations, and event-driven solutions.\n\nStrong cloud-native development experience, with AWS preferred.\n\nExperience with relevant AWS services such as Lambda, ECS, EKS, API Gateway, S3, RDS, DynamoDB, CloudWatch, EventBridge, and Step Functions.\n\nExperience with Docker, Kubernetes, Git, CI/CD, automated testing, and production deployment.\n\nStrong knowledge of secure software development, OWASP Top 10, authentication, authorization, RBAC, encryption, secretsmanagement, and dependency security.\n\nHands-on experience with application-security and code-quality tools such as Veracode, Snyk, SonarQube, Checkmarx, Fortify, or equivalent platforms.\n\nExperience integrating code, dependency, container, and security scanning into CI/CD pipelines.\n\nExperience assessing and remediating security vulnerabilities and code-quality findings.\n\nExperience designing highly available, scalable, fault-tolerant, and maintainable systems.\n\nExperience withmonitoring, logging, tracing, alerting, and production troubleshooting.\n\nExperience leading technical designs, code reviews, and complex software deliveries.\n\nDemonstrated ability to mentor engineers and establishreusable engineering standards.\n\nStrong Agile delivery, analytical, debugging, and problem-solving skills.\n\nAI and Machine Learning Capabilities\nExperience incorporating AI or machine learning capabilities into enterprise applications.\n\nUnderstanding ofmodel integration, model serving, APIs, and production deployment patterns.\n\nFamiliarity with frameworks such as Scikit-learn, TensorFlow, PyTorch, or equivalent technologies.\n\nExperience developing Generative AI applications using LLMs, prompt engineering, embeddings, vector search, or RAG.\n\nUnderstanding ofAI security, privacy, evaluation, monitoring, governance, and responsible AI.\n\nGood-to-Have Skills\nExperience with AWS-native serverless and cloud-native architectures.\n\nExperience with Infrastructure as Code using Terraform, AWS CDK, CloudFormation, or equivalent tools.\n\nExperience with observability tools such as CloudWatch, Prometheus, Grafana, Splunk, or OpenTelemetry.\n\nExperience with relational and NoSQL databases and performance optimization.\n\nExperience with Kafka, Amazon Kinesis, Amazon SQS, or other asynchronous and streaming technologies.\n\nExperience with MLOpsplatforms such as MLflow, SageMaker, Kubeflow, or Airflow.\n\nExperience with Apache Spark, PySpark, Databricks, or other data-processing technologies.\n\nExperience with threat modeling, penetration testing, software composition analysis, and software supply-chainsecurity.\n\nExperience implementing DevSecOpspractices across web, API, cloud, and container environments.\n\nExperience with disaster recovery, business continuity, and operational-readiness planning.\n\nExperience within biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry.\n\nPreferred Certifications\nAWS Certified Developer, Solutions Architect, or DevOps Engineer certification.\n\nRelevant cloud, Kubernetes, software architecture, security, or DevSecOpscertification.\n\nRelevant AI, machine learning, or Generative AI certification.\n\nScaled Agile Framework certification.\n\nSoft Skills\nExcellent analytical, troubleshooting, and decision-making skills.\n\nStrong verbal, written, presentation, and stakeholder-communicationskills.\n\nAbility to work effectively with global and virtual teams.\n\nHigh degree of ownership, initiative, and self-motivation.\n\nAbility to manage multiple priorities, dependencies, and delivery risks.\n\nStrong leadership, mentoring, collaboration, and influencing skills.\n\nCommitment to quality, security, reliability, and operational excellence.\n\n.","description_format":"text","description_chars":7909,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Biologics & Biosimilars","Immunology & Inflammation 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