{"id":38456,"url":"https://alion.io/job/ciroos-software-development-engineer","title":"Software Development Engineer","company":{"id":807,"name":"Ciroos","domain":"ciroos.ai","url":"https://alion.io/company/ciroos","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Go","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"ClickHouse","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Prometheus","optional":true},{"name":"SQL","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-07-07T08:29:07Z","employer_posted_date":"2026-07-07","last_verified_at":"2026-10-17T04:46:52Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":101},"description":"About Us\nWe are an early-stage AI startup focused on Site Reliability Engineering (SRE). Rather than being another observability platform, its goal is to act as an AI SRE teammate that works alongside SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to investigate incidents, determine root causes, and automate remediation.\nOur team includes experienced entrepreneurs and engineers who have built multiple billion-dollar products from scratch. As a well-funded US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you’ll have a front-row seat to shape the future of AI-driven Observability solutions.\nWhat You’ll Work On\nDesign and develop a next-generation scalable observability platform for modern cloud-native and hybrid infrastructures that works in tandem with AI agents.\nCreate intelligent AI agents to analyze logs, traces, and metrics in real time, delivering automated insights and remediation.\nBuild scalable and fault tolerant AI agent frameworks.\nEngineer and optimize large-scale analytics pipelines to process high-velocity telemetry data.\nBuild resilient distributed systems with high reliability, performance, and fault tolerance.\nImplement and fine-tune LLMs for natural language querying and automated troubleshooting.\nPartner with ML engineers to streamline AI model deployment and management.\nWhat We’re Looking For\nStrong programming skills in Python and Golang (experience with Rust is a plus)\nTrack record of building distributed systems and large-scale analytics pipelines\nHands-on experience with cloud infrastructure (AWS, GCP, or Azure) and Kubernetes\nDeep understanding of observability technologies (Prometheus, OpenTelemetry, Grafana, Elastic, etc.)\nKnowledge of LLMs, AI agents, agent frameworks liks langchain, autogen is a plus\nExperience with stream processing and real-time data processing frameworks\nProficiency in database technologies (SQL & NoSQL, Clickhouse, Time-Series DBs)\n5+ years of relevant experience in building highly scalable systems.\nBachelor's degree in Computer Science, Engineering, or related field (Master's/PhD is a plus)\nOur Values:\nLoyalty & Long-term Commitment - 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