{"id":3317927,"url":"https://alion.io/job/kyndryl-site-reliability-engineer-ai-platform","title":"Site Reliability Engineer - AI Platform","company":{"id":91,"name":"Kyndryl","domain":"kyndryl.com","url":"https://alion.io/company/kyndryl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":117,"ghost_share":0,"stale_share":0.624,"repost_share":0.026,"time_to_fill_p50_days":35,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":108000,"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Dynatrace","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PowerShell","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"Azure AKS","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Helm","optional":true},{"name":"KEDA","optional":true}],"status":"live","first_seen_at":"2026-10-27T06:14:48Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T09:47:25Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Who We Are\nAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.\n The Role\nWe are looking for a Site Reliability Engineer to ensure the reliability, performance, and observability of our enterprise AI platform. This role monitors and supports production systems running on Kubernetes and cloud services (currently Azure), and extends traditional observability to cover how AI solutions behave and how models are used. Working closely with DevOps engineers, the SRE will help automate and harden the CI/CD pipelines that developers rely on to deliver applications. The ideal candidate is an organized, experienced cloud operations professional with strong reliability engineering fundamentals who is committed to defining service level objectives, reducing operational toil, and driving continuous improvement through data and automation. Prior experience with AI is not required; we value core SRE skills and the ability to learn new technologies quickly.\nKey Responsibilities\nMonitor platform health: Monitor and support running platform systems, defining and tracking SLIs, SLOs, and error budgets for availability, latency, and throughput across the platform.\nBuild observability for AI workloads: Design and maintain dashboards, alerts, and telemetry that cover AI solution behavior and model usage, such as token consumption, request latency, throttling and quota limits, error rates, cost attribution by application and team, and output quality or drift signals.\nOperate Kubernetes and cloud services: Run and support Kubernetes clusters and the supporting cloud services in our Azure environment, including API management, managed model services, and container orchestration, covering capacity planning, autoscaling, upgrades, workload health, and resource optimization.\nAutomate CI/CD with DevOps: Partner with DevOps engineers to automate, standardize, and improve CI/CD pipelines in GitHub Actions, embedding reliability checks, automated testing, progressive delivery, and rollback practices that enable developers to ship safely and quickly.\nAutomate infrastructure: Use Terraform and other infrastructure-as-code tools to provision and manage cloud environments in a repeatable, secure, and compliant manner.\nRespond to and prevent incidents: Participate in on-call and incident response, lead blameless post-incident reviews, maintain runbooks, and drive corrective actions that reduce recurrence and manual toil.\nPlan capacity and resilience: Conduct capacity planning, load and failure testing, and disaster recovery readiness for platform components.\nCollaborate and document: Work with developers, data scientists, security, and enterprise architecture teams to align reliability practices with platform standards, and document operational guidance for platform consumers.\nWho You Are\nRequired Qualifications:\nBachelor's degree in Computer Science, Engineering, Info Systems, or related field.\n5+ years of practical experience in site reliability engineering, DevOps, or cloud operations.\nStrong hands-on experience running production workloads on Kubernetes, including deployment and configuration management, networking, autoscaling, cluster upgrades, and troubleshooting.\nExperience operating production workloads in a major public cloud (Azure, AWS, or GCP). Azure experience is helpful but not required; strong cloud operations skills are expected to transfer.\nProficiency with observability tooling such as Azure Monitor, Prometheus, Grafana, or Dynatrace, including OpenTelemetry-based tracing, metrics, and logging.\nExperience defining SLIs, SLOs, and error budgets, and building actionable alerting that reduces noise.\nExperience with automation across the delivery lifecycle, including CI/CD pipelines (preferably GitHub Actions), infrastructure as code (preferably Terraform), and scripting or programming (e.g., Python, Bash, PowerShell, or Go), and the ability to collaborate with DevOps engineers on pipeline design and reliability.\nStrong incident management, troubleshooting, and communication skills, with experience in on-call rotations and blameless post-incident reviews.\nCuriosity and willingness to learn how AI solutions and models behave in production. No prior AI or machine learning experience is required.\nPreferred Qualifications:\nExperience with Azure services such as Azure Kubernetes Service, Azure API Management, or Azure AI Foundry.\nExperience monitoring AI/ML or generative AI workloads, including model quality, drift, safety, and cost metrics.\nExperience with Kubernetes ecosystem tooling such as Helm, KEDA, and service meshes, and with GPU-enabled workloads.\nExperience with DevSecOps practices, including secrets management, policy as code, and supply chain security.\nRelevant certifications such as Certified Kubernetes Administrator (CKA), Azure Administrator, or Azure DevOps Engineer Expert.\nBeing You\nThe “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.\nWhat You Can Expect\nYour career with us isn’t just a job-it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best. \nFrom your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute-you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.\nWe’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. \nWe want you to thrive here-and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.\nGet Referred!\nIf you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.","description_format":"text","description_chars":7720,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Infrastructure & Networking Services","Systems Integrators","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-27T06:14:48Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":35,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand,attention"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/kyndryl-site-reliability-engineer-ai-platform","json_url":"https://alion.io/job/kyndryl-site-reliability-engineer-ai-platform.json","meta":{"generated_at":"2026-10-30T15:27:59Z","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":3247,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":91},"rest":"https://alion.io/mcp/rest/get_company?id=91"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkyndryl-site-reliability-engineer-ai-platform"},{"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%2Fkyndryl-site-reliability-engineer-ai-platform"},{"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%2Fkyndryl-site-reliability-engineer-ai-platform"},{"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/kyndryl-site-reliability-engineer-ai-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkyndryl-site-reliability-engineer-ai-platform"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3317927}},{"tool":"search_jobs","arguments":{"company":"kyndryl.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3317927},"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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