{"id":3483589,"url":"https://alion.io/job/infinite-computer-solutions-systems-engineering-sr-professional-i","title":"Systems Engineering - Sr Professional I","company":{"id":1886342,"name":"Infinite Computer Solutions","domain":"infinite.com","url":"https://alion.io/company/infinite-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BrassRing","truth_index":{"grade":"B","score":75,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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 Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":97000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":145},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Terraform","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Datadog","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Grafana","optional":true},{"name":"Kubeflow","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-29T20:55:37Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T03:22:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Title: Systems Engineering - Sr Professional\nJob Duties and Responsibilities In this role, you will design, build, and manage robust CI/CD pipelines and infrastructure automation (IaC), with a primary focus on systems tailored for data processing, data pipelines, and Machine Learning (ML) model deployment. You will collaborate closely with data engineers and data scientists to effectively streamline complex data workflows and implement DataOps/MLOps best practices, ensuring the reliability, scalability, and optimal performance of data platforms and systems within cloud environments. Your work, centered around leveraging advanced automation, CI/CD methodologies, and cloud-native data services, is essential to supporting various data-driven initiatives and enhancing the efficiency of ML operations throughout the business. Proficiency and hands-on experience with CI/CD for data, IaC, and cloud data platforms are mandatory for this position.\nPrimary Skills\n· Deep expertise in designing, building, and managing CI/CD pipelines specifically for data workflows and/or ML models, enabling efficient automation of data processing and model deployment lifecycles.\n· Strong understanding of Infrastructure as Code (IaC) principles and proficiency with relevant tools (e.g., Terraform, CloudFormation, Ansible), including its application to provisioning and managing data-intensive infrastructure on cloud platforms.\n· Proficiency in designing, building, and managing scalable and resilient data infrastructure solutions specifically within cloud environments (AWS, Azure, or GCP), integrating various data services (e.g., S3, Glue, Redshift, EMR, SageMaker, Azure Data Factory, Synapse, GCP Dataflow, BigQuery, AI Platform) and ensuring data platform reliability.\n· Advanced skills in containerization (Docker) and 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