{"id":760854,"url":"https://alion.io/job/coherentsolutions-devops-data-engineer-digital-marketing-sphere","title":"DevOps Data Engineer (Digital Marketing sphere)","company":{"id":673133,"name":"Coherent Solutions","domain":"coherentsolutions.com","url":"https://alion.io/company/coherentsolutions-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-10T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bulgaria","Georgia","Moldova"],"countries":["BG","GE","MD"],"hiring_countries":["BG","GE","MD"],"hiring_countries_total":3,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"ArgoCD","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Flink","optional":true},{"name":"GitOps","optional":true},{"name":"Hadoop","optional":true},{"name":"Redis","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-06-29T11:31:13Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-11T23:06:41Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":103},"description":"Company Background\nOur client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.\nProject Description\nWe’re looking for a DevOps Engineer to build, operate, and scale the platforms behind data systems, run containerized workloads on Kubernetes and Linux-based environments, and help keep batch and streaming data pipelines reliable at scale.\nTechnologies\nKubernetes\nLinux\nSpark\nPython\nAWS or other cloud platforms\nGitLab / GitHub\nCI/CD\nWhat You'll Do\nBuild, operate, and scale containerized data infrastructure on Kubernetes and/or Linux-based systems;\nWork with distributed data processing engines, such as Spark, across batch and streaming workloads;\nDevelop automation scripts and internal tooling using Python;\nImprove reliability, observability, and performance of distributed systems;\nSupport infrastructure operations, troubleshooting, and continuous improvement of platform stability;\nJob Requirements\n3+ years of commercial experience in DevOps, Infrastructure, or similar engineering roles;\nSolid Linux administration skills;\nHands-on experience with containers and Kubernetes;\nGood understanding of distributed systems and data infrastructure concepts;\nGood Python scripting experience for automation and tooling;\nHands-on experience with at least one cloud platform, preferably AWS;\nExperience with version control and CI/CD tools, such as GitLab or GitHub;\nStrong English communication skills, B1+ level or higher;\nAbility to work independently and collaborate effectively within a team;\nNice To Have\nExposure to data warehouses, data lakes, or distributed data processing frameworks such as Hadoop, Spark, Flink, or Trino across batch and/or streaming workloads;\nExperience with GitOps tools, such as ArgoCD or Flux;\nExperience administering at least one NoSQL database, such as Redis, Elasticsearch, or MongoDB;\nPrevious experience as a Data Engineer or Software Engineer with an infrastructure background;\nWhat Do We Offer\nThe global benefits package includes:\nTechnical and non-technical training for professional and personal growth;\nInternal conferences and meetups to learn from industry experts;\nSupport and mentorship from an experienced employee to help you professional grow and development;\nHealth insurance;\nSports activities to promote a healthy lifestyle;\nFlexible work options, including remote and hybrid opportunities;\nReferral program for bringing in new talent;\nWork anniversary program and additional vacation days.","description_format":"text","description_chars":2856,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Flexible schedule","Health insurance","Sports 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