{"id":1598317,"url":"https://alion.io/job/modus-create-site-reliability-engineer-engineer-4","title":"Site Reliability Engineer Engineer","company":{"id":678794,"name":"Modus Create","domain":"moduscreate.com","url":"https://alion.io/company/moduscreate","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":200000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2444},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Go","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false},{"name":"AI Agents","optional":true},{"name":"Chaos Engineering","optional":true},{"name":"FinOps","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-01T11:51:30Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-06T20:39:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Site Reliability Engineer Engineer\nRemote, Contract\nAbout Us\nModus Create is a digital consulting partner that helps ambitious organizations design, build, and modernize digital products, platforms, and AI-powered experiences. We work shoulder-to-shoulder with client teams to move from idea to production quickly and sustainably, with a clear path to scale.\nFounded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.\nWe were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world's largest brands deliver powerful digital experiences.\nOpportunity\nWe are seeking an experienced Site Reliability Engineer to build reliable, observable systems that enable client teams to operate with confidence at scale. You'll work embedded within cross-functional teams-partnering with developers, platform engineers, and operations teams-to reduce toil, improve system reliability, and prevent incidents before they impact users.\nAs a Senior Site Reliability Engineer, you take ownership of system reliability across our full backend stack-from AWS infrastructure (ALB, ECS/Fargate, Aurora) to Python services. You design and maintain observability systems, define SLAs and error budgets, build incident response processes, and drive improvements in uptime and performance. You'll participate in 24/7 P0 on-call rotations with a 10-minute acknowledgment SLA, lead incident investigations and postmortems, and help teams shift from reactive firefighting to proactive reliability engineering. You'll also mentor and onboard additional SRE engineers as the team scales from 4 to 8-12 over the coming months.\nThe Site Reliability Engineer will work shoulder-to-shoulder with cross-functional teams to ensure systems remain resilient, scalable, and observable across client environments. You'll also have opportunities to advise leadership on reliability strategy and help shape how organizations approach operational excellence.\nRequirements\n6+ years hands-on experience in SRE, DevOps, or Platform Engineering at scale\nStrong proficiency in one cloud platform: Deep AWS expertise (ALB, ECS/Fargate, RDS Aurora, Lambda, IAM)\nProduction Python backend engineering experience; comfortable debugging and optimizing Python services in containers and Lambdas\nExperience building or bootstrapping SRE programs from scratch\nHands-on experience with incident response, on-call rotations, postmortems, and SLOs\nDeep experience designing and implementing observability (metrics, logging, tracing, alerting)\nSolid understanding of containerization (Kubernetes, Docker) and deployment automation\nExperience writing and maintaining infrastructure-as-code (Terraform, CloudFormation, Pulumi, etc.) \nHands-on experience with CI/CD pipelines and deployment strategies\nAbility to troubleshoot distributed systems and production issues with debugging complex failures\nClear communication skills and the ability to explain reliability trade-offs to stakeholders\nScripting proficiency (Python, Bash, Go); Linux/Unix administration fundamentals\nVersion control (Git), collaboration workflows, and infrastructure automation patterns\nKey Responsibilities & Deliverables\nDesign observability systems (metrics, logging, tracing) and define SLOs, error budgets, and monitoring strategies aligned with business needs\nOwn 24/7 P0 on-call rotation with 10-minute acknowledgment SLA; validate and escalate AI-generated incident reports to platform teams\nEstablish reliability standards and SLA targets for backend services\nMentor and onboard additional SRE engineers as team scales to 8-12\nParticipate in incident response, troubleshooting, root-cause analysis, and postmortems\nImplement reliability improvements, capacity planning, and performance optimization\nBuild self-healing automation and toil-reduction initiatives to minimize manual operational work\nCollaborate with teams to integrate reliability and observability into delivery\nSupport modern workloads including AI applications and services; understand their operational and reliability requirements\nCreate runbooks, architecture documentation, and troubleshooting guides to enable independence\nReview infrastructure changes and contribute to reliability standards and consistency\nActively tune systems for latency, throughput, and resource efficiency based on observability data\nTeam Collaboration\nAvailability for regular working sessions and discovery workshops with client teams\nAbility to work independently while collaborating with client & Modus leaders\nOverlap with client business hours daily is expected\nReliable high-speed internet is a must\nDocumenting solutions, sharing learnings with the team, contributing to internal wikis and runbooks\nPair program and collaborate on complex reliability and operational problems\nWelcome code and architecture reviews; seek input on reliability designs\nAbility to coordinate with security, platform, and development teams on reliability and operations\nBonus Skills\nExperience designing or operating internal developer platforms\nFamiliarity with chaos engineering, resilience testing, or failure scenario planning\nCloud security and compliance experience (audit readiness, security hardening)\nExperience with AI infrastructure, LLM serving, or agentic system operations\nMentoring junior engineers or leading technical design discussions\nCost optimization and cloud FinOps practices\nExperience with AI-generated incident reports and validation workflows\nPython performance tuning and backend optimization\nBuilding SRE programs in high-growth or fast-scaling environments\nYou’ll Love\nLearn from every incident and continuously improve systems\nSolve challenging reliability, observability, and operational problems\nWork with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability \nMake a direct impact on system uptime, performance, and operational efficiency\nCollaborate with great teams and help shape enterprise reliability and SRE best practices\nSupport teams operating AI applications and services reliably and safely at scale\nBy joining our team, you'll be part of a winning squad that plays to each other's strengths and celebrates every success together","description_format":"text","description_chars":6648,"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":[],"hiring_locations":[{"name":"Colombia","iso":null,"kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development","Enterprise Apps Implementation 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