{"id":2393131,"url":"https://alion.io/job/hcltech-senior-technical-specialist-53","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3402},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false},{"name":"Amazon S3","optional":true},{"name":"ArgoCD","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CloudFormation","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"Helm","optional":true},{"name":"Jenkins","optional":true},{"name":"Kustomize","optional":true}],"status":"live","first_seen_at":"2026-10-12T21:52:18Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T11:08:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nThe ideal candidate will have hands-on experience building, operating, and scaling cloud-native platforms, supporting Kubernetes-based workloads, and improving automation, observability, deployment reliability, and system performance.\nThis role requires a strong technical foundation, practical experience with modern infrastructure tooling, and the ability to communicate effectively with engineering, security, and operations teams.\n**Key Responsibilities**\n- Design, build, and maintain scalable, secure, and highly available infrastructure on AWS.\n- Manage and operate Kubernetes workloads using Amazon EKS.\n- Develop, maintain, and improve infrastructure as code using Terraform.\n- Support and optimize cloud-native services including AWS MSK, networking, compute, storage, IAM, and monitoring services.\n- Build automation using Python, Unix shell scripts, and other scripting or programming languages.\n- Improve reliability, availability, performance, and operational efficiency across production systems.\n- Implement and maintain CI/CD pipelines for application and infrastructure deployments.\n- Monitor system health, troubleshoot incidents, and participate in root cause analysis.\n- Collaborate with development teams to improve deployment practices and production readiness.\n- Create and maintain technical documentation, runbooks, and operational procedures.\n- Support security, compliance, backup, disaster recovery, and cost optimization initiatives.\n**Required Skills and Experience**\n- Excellent knowledge of Amazon EKS, Kubernetes architecture, deployments, services, ingress, autoscaling, and cluster operations.\n- Excellent knowledge of AWS services and cloud infrastructure best practices.\n- Hands-on experience with Amazon MSK or Kafka-based streaming platforms.\n- Expert-level experience with Terraform, including modules, state management, workspaces, and reusable infrastructure patterns.\n- Good working knowledge of Python, Unix shell scripting, and at least one additional programming or scripting language.\n- Strong understanding of Linux/Unix systems, networking, DNS, load balancing, and security fundamentals.\n- Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, Grafana, ELK/OpenSearch, or similar.\n- Experience supporting production systems in high-availability environments.\n- Strong troubleshooting, problem-solving, and incident response skills.\n- Good verbal and written communication skills.\n**Preferred Qualifications**\n- Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or similar.\n- Experience with Helm, Kustomize, or other Kubernetes deployment tools.\n- Familiarity with AWS IAM, VPC, Route 53, ALB/NLB, Lambda, RDS, S3, and CloudFormation.\n- Experience with container security, secrets management, and vulnerability scanning.\n- AWS, Kubernetes, or Terraform certifications are a plus.\n**Soft Skills**\n- Strong communication and collaboration skills.\n- Ability to work independently and as part of a cross-functional team.\n- Detail-oriented with a strong ownership mindset.\n- Comfortable supporting critical production systems.\n- Able to explain technical concepts clearly to both technical and non-technical stakeholders.\nKey Responsibilities\nThe ideal candidate will have hands-on experience building, operating, and scaling cloud-native platforms, supporting Kubernetes-based workloads, and improving automation, observability, deployment reliability, and system performance.\nThis role requires a strong technical foundation, practical experience with modern infrastructure tooling, and the ability to communicate effectively with engineering, security, and operations teams.\n**Key Responsibilities**\n- Design, build, and maintain scalable, secure, and highly available infrastructure on AWS.\n- Manage and operate Kubernetes workloads using Amazon EKS.\n- Develop, maintain, and improve infrastructure as code using Terraform.\n- Support and optimize cloud-native services including AWS MSK, networking, compute, storage, IAM, and monitoring services.\n- Build automation using Python, Unix shell scripts, and other scripting or programming languages.\n- Improve reliability, availability, performance, and operational efficiency across production systems.\n- Implement and maintain CI/CD pipelines for application and infrastructure deployments.\n- Monitor system health, troubleshoot incidents, and participate in root cause analysis.\n- Collaborate with development teams to improve deployment practices and production readiness.\n- Create and maintain technical documentation, runbooks, and operational procedures.\n- Support security, compliance, backup, disaster recovery, and cost optimization initiatives.\n**Required Skills and Experience**\n- Excellent knowledge of Amazon EKS, Kubernetes architecture, deployments, services, ingress, autoscaling, and cluster operations.\n- Excellent knowledge of AWS services and cloud infrastructure best practices.\n- Hands-on experience with Amazon MSK or Kafka-based streaming platforms.\n- Expert-level experience with Terraform, including modules, state management, workspaces, and reusable infrastructure patterns.\n- Good working knowledge of Python, Unix shell scripting, and at least one additional programming or scripting language.\n- Strong understanding of Linux/Unix systems, networking, DNS, load balancing, and security fundamentals.\n- Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, Grafana, ELK/OpenSearch, or similar.\n- Experience supporting production systems in high-availability environments.\n- Strong troubleshooting, problem-solving, and incident response skills.\n- Good verbal and written communication skills.\n**Preferred Qualifications**\n- Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or similar.\n- Experience with Helm, Kustomize, or other Kubernetes deployment tools.\n- Familiarity with AWS IAM, VPC, Route 53, ALB/NLB, Lambda, RDS, S3, and CloudFormation.\n- Experience with container security, secrets management, and vulnerability scanning.\n- AWS, Kubernetes, or Terraform certifications are a plus.\n**Soft Skills**\n- Strong communication and collaboration skills.\n- Ability to work independently and as part of a cross-functional team.\n- Detail-oriented with a strong ownership mindset.\n- Comfortable supporting critical production systems.\n- Able to explain technical concepts clearly to both technical and non-technical stakeholders.\nSkill Requirements\nThe ideal candidate will have hands-on experience building, operating, and scaling cloud-native platforms, supporting Kubernetes-based workloads, and improving automation, observability, deployment reliability, and system performance.\nThis role requires a strong technical foundation, practical experience with modern infrastructure tooling, and the ability to communicate effectively with engineering, security, and operations teams.\n**Key Responsibilities**\n- Design, build, and maintain scalable, secure, and highly available infrastructure on AWS.\n- Manage and operate Kubernetes workloads using Amazon EKS.\n- Develop, maintain, and improve infrastructure as code using Terraform.\n- Support and optimize cloud-native services including AWS MSK, networking, compute, storage, IAM, and monitoring services.\n- Build automation using Python, Unix shell scripts, and other scripting or programming languages.\n- Improve reliability, availability, performance, and operational efficiency across production systems.\n- Implement and maintain CI/CD pipelines for application and infrastructure deployments.\n- Monitor system health, troubleshoot incidents, and participate in root cause analysis.\n- Collaborate with development teams to improve deployment practices and production readiness.\n- Create and maintain technical documentation, runbooks, and operational procedures.\n- Support security, compliance, backup, disaster recovery, and cost optimization initiatives.\n**Required Skills and Experience**\n- Excellent knowledge of Amazon EKS, Kubernetes architecture, deployments, services, ingress, autoscaling, and cluster operations.\n- Excellent knowledge of AWS services and cloud infrastructure best practices.\n- Hands-on experience with Amazon MSK or Kafka-based streaming platforms.\n- Expert-level experience with Terraform, including modules, state management, workspaces, and reusable infrastructure patterns.\n- Good working knowledge of Python, Unix shell scripting, and at least one additional programming or scripting language.\n- Strong understanding of Linux/Unix systems, networking, DNS, load balancing, and security fundamentals.\n- Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, Grafana, ELK/OpenSearch, or similar.\n- Experience supporting production systems in high-availability environments.\n- Strong troubleshooting, problem-solving, and incident response skills.\n- Good verbal and written communication skills.\n**Preferred Qualifications**\n- Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or similar.\n- Experience with Helm, Kustomize, or other Kubernetes deployment tools.\n- Familiarity with AWS IAM, VPC, Route 53, ALB/NLB, Lambda, RDS, S3, and CloudFormation.\n- Experience with container security, secrets management, and vulnerability scanning.\n- AWS, Kubernetes, or Terraform certifications are a plus.\n**Soft Skills**\n- Strong communication and collaboration skills.\n- Ability to work independently and as part of a cross-functional team.\n- Detail-oriented with a strong ownership mindset.\n- Comfortable supporting critical production systems.\n- Able to explain technical concepts clearly to both technical and non-technical stakeholders.\nOther Requirements\nThe ideal candidate will have hands-on experience building, operating, and scaling cloud-native platforms, supporting Kubernetes-based workloads, and improving automation, observability, deployment reliability, and system performance.\nThis role requires a strong technical foundation, practical experience with modern infrastructure tooling, and the ability to communicate effectively with engineering, security, and operations teams.\n**Key Responsibilities**\n- Design, build, and maintain scalable, secure, and highly available infrastructure on AWS.\n- Manage and operate Kubernetes workloads using Amazon EKS.\n- Develop, maintain, and improve infrastructure as code using Terraform.\n- Support and optimize cloud-native services including AWS MSK, networking, compute, storage, IAM, and monitoring services.\n- Build automation using Python, Unix shell scripts, and other scripting or programming languages.\n- Improve reliability, availability, performance, and operational efficiency across production systems.\n- Implement and maintain CI/CD pipelines for application and infrastructure deployments.\n- Monitor system health, troubleshoot incidents, and participate in root cause analysis.\n- Collaborate with development teams to improve deployment practices and production readiness.\n- Create and maintain technical documentation, runbooks, and operational procedures.\n- Support security, compliance, backup, disaster recovery, and cost optimization initiatives.\n**Required Skills and Experience**\n- Excellent knowledge of Amazon EKS, Kubernetes architecture, deployments, services, ingress, autoscaling, and cluster operations.\n- Excellent knowledge of AWS services and cloud infrastructure best practices.\n- Hands-on experience with Amazon MSK or Kafka-based streaming platforms.\n- Expert-level experience with Terraform, including modules, state management, workspaces, and reusable infrastructure patterns.\n- Good working knowledge of Python, Unix shell scripting, and at least one additional programming or scripting language.\n- Strong understanding of Linux/Unix systems, networking, DNS, load balancing, and security fundamentals.\n- Experience with monitoring, logging, and alerting tools such as CloudWatch, Prometheus, G...","description_format":"text","description_chars":13002,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & 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