{"id":929829,"url":"https://alion.io/job/proofpoint-senior-devops-and-data-engineer","title":"Senior DevOps and Data Engineer","company":{"id":5122,"name":"Proofpoint","domain":"proofpoint.com","url":"https://alion.io/company/proofpoint","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":21,"ghost_share":0,"stale_share":0.667,"repost_share":0.048,"time_to_fill_p50_days":38,"computed_at":"2026-11-06T05:58:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Córdoba, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":121000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Great Expectations","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-06T20:07:10Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"About Us:\nProofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.\nHow We Work:\nAt Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:\nBold in how we dream and innovate\nResponsive to feedback, challenges and opportunities\nAccountable for results and best in class outcomes\nVisionary in future focused problem-solving\nExceptional in execution and impact\nPosition Overview\nProofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure-you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and more safely. At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering. If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.\nWhat You'll Do\nDesign, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.\n\nBuild and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.\n\nOwn the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.\n\nDevelop and maintain the DataOps platform-self-service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production-grade pipelines quickly.\n\nManage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.\n\nDesign and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.\n\nBuild and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.\n\nDrive security best practices across the data platform: secrets management (AWS Secrets Manager / Parameter Store), least-privilege IAM, network segmentation, and compliance controls.\n\nCollaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.\n\nLead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem-driven improvements.\n\nMentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.\n\nWhat You Bring to the Team\nRequired\n5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.\n\nDeep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.\n\nHands-on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).\n\nProficiency with Infrastructure-as-Code tools-Terraform and/or AWS CDK-for managing production cloud environments.\n\nStrong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.\n\nExperience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).\n\nProven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.\n\nStrong communication skills-able to translate operational concerns into clear engineering trade-offs for both technical and non-technical audiences.\n\nNice to Have\nFamiliarity with real-time / streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL.\n\nKnowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.\n\nFamiliarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.\n\nBackground in cybersecurity, threat intelligence, or security-data analytics environments.\n\nAWS Certified DevOps Engineer - Professional, AWS Certified Data Engineer - Associate, or AWS Certified Solutions Architect certification.\n\nExperience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).\n\nWhy Proofpoint?\nAt Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:\nCompetitive compensation\n\nComprehensive benefits\n\nCareer success on your terms\n\nFlexible work environment\n\nAnnual wellness and community outreach days\n\nAlways on recognition for your contributions\n\nGlobal collaboration and networking opportunities\n\nOur Culture:\nOur culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.\nWe encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .\nHow to Apply\nInterested? 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