{"id":1227599,"url":"https://alion.io/job/orangemint-technologies-tech-lead-predictive-maintenance-solutions","title":"Tech Lead - Predictive Maintenance Solutions","company":{"id":3800134,"name":"Orangemint Technologies","domain":"interviewpanel.in","url":"https://alion.io/company/orangemint-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000000,"max":4000000,"currency":"INR","period":"year","gross":true,"usd_annual":41928},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Digital Twin","optional":false},{"name":"GCP","optional":false},{"name":"MQTT","optional":false}],"status":"live","first_seen_at":"2026-09-24T03:52:49Z","employer_posted_date":null,"last_verified_at":"2026-09-24T03:52:49Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"About the Role:\n\nWe are building a next-generation Industrial Reliability Intelligence platform that combines Industrial IoT, Edge Intelligence, AI/ML, advanced analytics, and asset monitoring technologies to transform how enterprises manage the health, performance, and reliability of critical industrial assets. By converting real-time operational data into actionable intelligence, the platform enables predictive maintenance, operational optimization, energy efficiency, and improved asset performance across industrial environments.\n\nWe are seeking a Tech Leader to own the end-to-end technology vision for the platform. The leader will drive architecture and execution across Industrial IoT, Edge Computing, AI/ML, Cloud Platforms, Data Engineering, Enterprise Applications, and Reliability Analytics, while working closely with product, customers, and technology partners to scale the platform and business.\n\nKey Responsibilities:\n\nTechnology Leadership:\n\n- Define and drive the end-to-end platform architecture spanning: Industrial IoT and Edge Computing, Asset Monitoring and Reliability Analytics, AI/ML, Generative AI, and Predictive Intelligence, Data Platforms and Real-Time Analytics, Cloud-native Applications and Enterprise Integrations.\n\n- Own architectural decisions around scalability, security, performance, interoperability, and future product direction.\n\nProduct & Roadmap Ownership:\n\n- Own the technical roadmap and work closely with business, product, customers, and partners to translate business needs into scalable platform capabilities.\n\n- Drive innovation across Industrial AI, Smart Manufacturing, Reliability Intelligence, Energy Analytics, and Connected Operations.\n\nEngineering Execution:\n\n- Lead engineering teams from concept to deployment.\n\n- Establish best practices for architecture, software engineering, AI/ML development, edge deployment, data engineering, and DevOps.\n\n- Build and mentor high-performing engineering teams while driving product quality, innovation, and execution excellence.\n\nQualifications/Skills:\n\n- Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, Industrial Engineering, or related disciplines.\n\n- 10 to 12 years of experience in Industrial IoT, Smart Manufacturing, Industrial AI, Digital Transformation, Enterprise Platforms, Asset Performance Management, or Reliability Engineering.\n\n- Strong experience in enterprise-scale architecture and cloud platforms (AWS, Azure, or GCP).\n\n- Experience with AI/ML, Generative AI, Predictive Analytics, Data Engineering, and Real-time Processing platforms.\n\n- Knowledge of Industrial IoT technologies including MQTT, SCADA, PLC integration, Edge Computing, and Digital Twins.\n\n- Hands-on experience building and scaling industrial technology products and platforms.\n\n- Experience leading engineering teams and delivering enterprise deployments across multiple industrial environments.\n\nSkills\nEdge Computing, Cloud, IIOT, IoT","description_format":"text","description_chars":2968,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial IoT (IIoT)","Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely 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