{"id":3750105,"url":"https://alion.io/job/wizeline-sre-devops-platform-engineer-aws","title":"SRE DevOps / Platform Engineer (AWS)","company":{"id":685743,"name":"Wizeline","domain":"wizeline.ai","url":"https://alion.io/company/wizeline-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":72,"open_postings":34,"ghost_share":0.382,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":90,"computed_at":"2026-11-07T05:47:08Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"HIPAA","optional":false},{"name":"IAM","optional":false},{"name":"ISO 27001","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon EKS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Google Workspace","optional":true},{"name":"Helm","optional":true},{"name":"KEDA","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Okta","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Redis","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-04T14:36:09Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T13:08:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"We are:\nWizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.\nWith the right people and the right ideas, there’s no limit to what we can achieve.\nAre you a fit?\nWe are looking for an experienced DevOps / Platform Engineer to help build, operate, and continuously improve our cloud infrastructure, CI/CD systems, and company-wide DevOps and TechOps capabilities.\nIn this role, you will leverage AI-assisted development tools, coding agents, and intelligent automation to enhance infrastructure engineering, accelerate software delivery, and improve operational efficiency. You will bring deep expertise in AWS, Infrastructure as Code, automation, and cloud-native technologies, while establishing secure, scalable, and highly reliable systems that support both traditional and AI-powered applications.\nYou will collaborate with Engineering, Data, Security, and business teams to improve developer experience, strengthen operational excellence, and drive continuous improvement across the organization.\nKey Responsibilities\nChampion AI-first engineering practices by leveraging AI coding agents, intelligent automation, and AI-enabled workflows to streamline infrastructure management, CI/CD, incident response, and corporate technology operations.\nDesign, build, and maintain highly available and scalable AWS infrastructure, including ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, and supporting cloud services.\nModernize CI/CD pipelines using GitHub Actions, reusable workflows, automated testing, security controls, and reliable deployment and rollback strategies.\nEstablish secure and repeatable software delivery practices that improve developer productivity, deployment velocity, and operational consistency.\nDrive Infrastructure as Code (IaC) best practices using Terraform, including reusable modules, testing, versioning, and safe deployment patterns.\nBuild and maintain containerized and serverless application delivery systems using Docker, AWS services, and modern automation tools.\nDevelop infrastructure and CI/CD capabilities to support AI-enabled applications, including secure model and API integrations, automated evaluation workflows, observability, and deployment controls.\nLeverage AI-assisted development tools and coding agents to improve infrastructure engineering, troubleshooting, automation, and operational efficiency.\nDesign and maintain corporate IT/TechOps systems, including identity and access management, SSO, SaaS administration, endpoint management, and employee technology lifecycle workflows.\nAutomate company-wide technology operations, including provisioning, employee onboarding and offboarding, access reviews, and recurring IT processes.\nProvide advanced technical support and maintain reliable corporate technology environments.\nDefine and continuously improve monitoring, alerting, dashboards, and logging using Datadog or similar observability platforms.\nAnalyze operational data to identify opportunities to improve system reliability, performance, security, and cloud cost efficiency.\nLead incident response, root cause analysis, postmortems, and long-term corrective actions across production and corporate technology systems.\nApply security-first practices across infrastructure, IAM, networking, software delivery, and corporate systems to support compliance with ISO 27001, SOC 2, HIPAA, and other applicable regulatory requirements.\nCollaborate with Engineering, Data, Security, and business teams to deliver scalable solutions, enhance developer experience, and reduce operational complexity.\nPromote knowledge sharing through technical documentation, automation, playbooks, architectural discussions, and continuous improvement initiatives.\nMust-have Skills (Remember to include years of experience)\n6+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Cloud Engineering, Systems Engineering, or related production infrastructure roles.\nExpert-level hands-on experience with AWS infrastructure and services, particularly ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, IAM, and networking.\nAdvanced experience designing and managing CI/CD pipelines using GitHub Actions or similar technologies, including reusable workflows, secure authentication, automated testing, and deployment automation.\nStrong proficiency in Terraform for Infrastructure as Code (IaC), including reusable modules, testing, and environment management.\nHands-on experience with containerization and application delivery using Docker, container registries, and AWS container services.\nStrong scripting and automation skills using at least one of the following: Bash, Python, Ruby, or Go.\nExperience managing corporate IT/TechOps systems, including identity management, SSO/MFA, SaaS administration, endpoint management, and automated employee lifecycle processes.\nHands-on experience with AI-assisted development tools, such as GitHub Copilot or coding agents, and familiarity with the infrastructure requirements of AI-enabled applications.\nExperience building and maintaining reliable, observable systems using Datadog or similar platforms for metrics, logs, traces, and alerting.\nStrong understanding of distributed systems, Linux, networking, DNS, security, autoscaling, and cloud-native operational patterns.\nStrong debugging, problem-solving, and incident response skills across complex application, infrastructure, and corporate technology environments.\nAbility to work independently, collaborate across multidisciplinary teams, and take ownership of diverse technical responsibilities in a fast-paced, small-company environment.\nNice-to-have:\nExperience supporting AI/LLM-enabled applications, including Amazon Bedrock, model APIs, AI evaluation pipelines, or AI-specific observability.\nExperience managing Kubernetes/EKS environments, including Helm, KEDA, cluster operations, and workload management.\nExperience with corporate technology platforms such as Okta, Google Workspace, Microsoft 365, Jamf, Intune, or equivalent identity and device management solutions.\nExperience implementing cloud cost optimization strategies and operational automation across infrastructure and corporate technology systems.\nPrevious experience as a Software Engineer or Full Stack Engineer.\nExperience supporting healthcare, life sciences, or other regulated environments.\nFamiliarity with technologies such as Snowflake, PostgreSQL, Redis, RabbitMQ, Bottlerocket, Puma, and Ruby-based applications.\nAI Tooling Proficiency\nLeverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.\nWhat We Offer\nAn innovative and high-impact work environment where you can build scalable digital products.\nStrong commitment to continuous learning, professional growth, and skill advancement.\nA flexible, collaborative work culture that fosters teamwork and ownership.\nGlobal career opportunities across multidisciplinary technology teams.\nA vibrant global community of creators and tech leaders.\nCompetitive total compensation packages and comprehensive employee benefits.\n*Specific benefits are tailored based on location and contractual employment type.\nDiscover more about life at Wizeline here.","description_format":"text","description_chars":7599,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-11-04T14:55:07Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":90,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/wizeline-sre-devops-platform-engineer-aws","json_url":"https://alion.io/job/wizeline-sre-devops-platform-engineer-aws.json","meta":{"generated_at":"2026-11-07T13:17:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15833,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":685743},"rest":"https://alion.io/mcp/rest/get_company?id=685743"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwizeline-sre-devops-platform-engineer-aws"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwizeline-sre-devops-platform-engineer-aws"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwizeline-sre-devops-platform-engineer-aws"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/wizeline-sre-devops-platform-engineer-aws\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwizeline-sre-devops-platform-engineer-aws"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3750105}},{"tool":"search_jobs","arguments":{"company":"wizeline.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3750105},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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