{"id":3430037,"url":"https://alion.io/job/blackhawk-network-platform-engineer-i","title":"Platform Engineer I","company":{"id":1760011,"name":"Blackhawk Network","domain":"blackhawknetwork.com","url":"https://alion.io/company/blackhawknetwork","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-10-28T07:28:38Z","employer_posted_date":null,"last_verified_at":"2026-10-28T07:28:38Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"About Blackhawk Network\nToday, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com.\nOverviewOur Operations Command Centre (OCC) is looking for a Platform Engineer with strong technical foundations, exceptional problem-solving ability, and a passion for building reliable systems. \nThis is not a traditional Platform Engineering or NOC role. \nYou'll split your time between engineering solutions and operating our production platforms—maintaining the health of BHN's production services while building the automation, observability, and AI-driven capabilities that make incidents less frequent, easier to diagnose, and faster to resolve. \nAs part of the OCC, you'll play an active role in Major Incident Management, partnering with engineering teams to diagnose and restore production services during critical incidents. Outside of incident response, you'll build dashboards, improve monitoring, develop automation, analyse operational data, and engineer intelligent tooling that continuously improves platform reliability. \nThis role provides exceptional exposure to large-scale distributed systems, cloud infrastructure, Kubernetes, CI/CD, observability platforms, automation, AI-assisted software development, and production engineering. \nIf you're naturally curious, enjoy solving complex technical problems, and want to accelerate your engineering career, we'd love to hear from you\nResponsibilitiesMajor Incident Response & Production Operations \nParticipate in the 24×7 on-call rotation supporting BHN's production platforms. \nMonitor prohealth using modern observability platforms. \nLead or support Majoduction r Incident bridges, coordinating technical teams during high-severity production incidents. \nPerform technical triage, identify probable causes, and drive rapid service restoration. \nCommunicate clearly with engineers, leadership, and business stakeholders throughout incidents. \nLead post-incident reviews focused on learning and continuous improvement. \nIdentify recurring operational pain points and engineer permanent solutions. \nPlatform Engineering & Automation Develop automation that reduces manual operational effort. \nBuild internal engineering tools that improve developer productivity and platform reliability. \nCreate dashboards, alerts, health scores, and operational insights. \nImprove CI/CD pipelines and deployment safety. \nAutomate operational workflows and repetitive tasks. \nBuild self-service capabilities for engineering teams. \nDevelop auto-remediation and self-healing capabilities. \nContinuously improve platform reliability through engineering rather than manual intervention. \nObservability & Reliability Engineering Design alerts that detect customer-impacting issues early while minimising alert fatigue. \nImprove platform visibility through metrics, logs, traces, and dashboards. \nAnalyse production behaviour to identify reliability improvements. \nDevelop operational KPIs and engineering health metrics. \nDefine and measure Service Level Indicators (SLIs) and Service Level Objectives (SLOs). \nUse operational data to drive engineering decisions and improve platform resilience. \nAI Engineering & Intelligent Operations Use AI-assisted software development tools to improve engineering productivity. \nDevelop AI-powered incident summarisation and communication capabilities. \nBuild intelligent root cause analysis and diagnostic tooling. \nCreate operational copilots and engineering assistants. \nEnhance alerts with contextual intelligence. \nAutomate diagnostics and operational workflows. \nBuild AI-driven orchestration and auto-remediation capabilities. \nDevelop engineering knowledge systems that improve troubleshooting and accelerate learning. \nYou'll Gain Experience Across Cloud Infrastructure (AWS) \nKubernetes \nCI/CD Engineering \nInfrastructure as Code \nObservability & Monitoring \nMajor Incident Management \nProduction Operations \nReliability Engineering (SRE) \nAutomation Engineering \nAI Engineering \nLarge-scale Distributed Systems \nQualificationsBachelor's degree in Computer Science, Engineering, or equivalent practical experience. \nExperience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), Infrastructure Engineering, Technical Operations, or a similar technical role. \nStrong Linux fundamentals. \nExperience with AWS or another major cloud platform. \nExperience with Git and modern software development workflows. \nBasic scripting experience using Python, Bash, or a similar language. \nStrong analytical and troubleshooting skills, with exposure to production support or Major Incident Management. \nExcellent written and verbal communication skills. \nStrong ownership mindset with a passion for continuous improvement. \nExperience using modern AI engineering tools such as GitHub Copilot, Cursor, Claude, or similar AI-assisted development platforms\nOriginally posted on Himalayas","description_format":"text","description_chars":5370,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-28T23:28:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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