{"id":3167210,"url":"https://alion.io/job/big-assets-infra-engineering-mananger","title":"Engineering Mananger","company":{"id":416,"name":"Big Assets Infra","domain":"bigassetsinfra.com","url":"https://alion.io/company/big-assets-infra","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":"staff","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":null,"salary_estimate":{"min_usd":26000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Linux","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-10-23T17:36:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T17:36:00Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"We're looking for an experienced Engineering Manager to lead the development of the core platform powering our edge computing infrastructure. This role is ideal for someone who enjoys solving difficult systems problems, leading high-performing engineering teams, and remaining technically involved when needed. You'll partner with engineering and product leadership to define long-term platform strategy while helping the team build highly reliable, performance-critical software that runs on resource-constrained edge devices.\n\nResponsibilities: \nDrive the long-term technical direction of the platform organisation, aligning engineering investments with product priorities.\nLead the design of scalable distributed software running on edge hardware where latency, memory, and reliability are critical.\nCoordinate multiple engineering initiatives simultaneously, balancing roadmap execution with urgent production needs.\nProvide technical guidance through architecture discussions, detailed design reviews, and high-quality code reviews.\nAct as the technical escalation point for challenging C++ or systems-level issues when deep debugging is required.\nGuide the development of communication frameworks, IPC mechanisms, event-driven services, and high-throughput data pipelines.\nImprove engineering excellence by establishing best practices around testing, observability, deployment, incident response, and operational reliability.\nRecruit exceptional systems engineers while mentoring and growing existing team members.\nBuild a culture focused on accountability, engineering craftsmanship, continuous improvement, and execution.\n\nRequirements: \nSeveral years of engineering management experience leading teams building infrastructure, systems software, or distributed platforms.\nStrong foundation in Computer Science including operating systems, networking, concurrency, algorithms, and data structures.\nDemonstrated experience building or leading software for real-time, low-latency, or performance-sensitive distributed systems.\nComfortable reviewing, debugging, and contributing production-quality C++ code when required.\nExperience working close to embedded software, firmware, or hardware-aware applications.\nExcellent architectural skills with the ability to evaluate complex technical trade-offs.\nProven ability to deliver production software while maintaining long-term platform quality and scalability.\nStrong communication and leadership skills with experience influencing engineers, product managers, and leadership.\n\nNice to Have: \nExperience in one or more of the following areas would be valuable:\nRust development.\nLinux internals, kernel optimisation, or real-time Linux.\nHigh-performance messaging frameworks or publish-subscribe architectures.\nSoftware running on constrained edge devices.\nGPU-enabled edge computing platforms.\nDistributed streaming or telemetry systems.\nPerformance profiling and memory optimisation.\nModern observability platforms and production diagnostics.\nSkills\nc++, distributed systems, engineering manager, infrastructure, systems 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