Backend Engineering Devops lead
5 days ago
ResponsibleDrive zero-downtime deployments, rollouts, and real-time monitoring for FLOW's APIs and backend servicesOwn platform infrastructure on AWS with a focus on auto-scaling, cost optimization and global redundancyImplement and continuously improve observability using tools like Grafana, Prometheus, NewRelic, or equivalentEnsure tight integration and delivery readiness of data science models, EDD APIs, and control tower modules across environmentsAccountableDeliver a high-availability SaaS platform with >99.9% uptime and minimal tech debtEnsure engineering team adheres to quality gates, peer review, and regression protocolsBe the first line of accountability in case of outages, security breaches, or SLA misses from platform sideTake charge of building pipeline with reliability and releases aligned with business prioritiesConsultedWork with Data Science teams to deploy and monitor predictive models for EDD and courier scoringPartner with Product Managers to evaluate feasibility, engineering effort, and deployment readinessGuide Client Solutions and Customer Success teams on platform capabilities, custom integrations and SLA guaranteesInformedStay updated on global data privacy laws (GDPR, DPDP) and ensure compliance frameworks are implementedBe in loop for business continuity planning, DR drills, and major releasesFollow AI/ML trends (e.g., agentic orchestration, probabilistic delivery workflows) that could shape upcoming releasesKey CompetenciesKnowledgeEssential7+ years of backend/platform engineering experience, with 4+ years in leadership rolesDeep understanding of microservices architecture, cloud infra (preferably AWS), and real-time data pipelinesProven record of handling production deployments, incident resolution, and performance bottlenecksFamiliarity with AI/ML lifecycle deployment, especially around delivery estimations and recommender systemsDesirableExposure to logistics tech, e-commerce platforms, or last-mile orchestration systemsExperience working with data versioning, embedding stores (e.g., Pinecone, Redis), and vectorized APIsSkillsEssentialExpert in , Python, or Go, with strong DevOps chopsStrong in Docker, Kubernetes, GitOps, and setting up CI/CD from scratchAbility to debug and harden systems across infra, code, and network levelsTeam leadership across in-house, remote, and vendor-based resourcesDesirableExposure to RLHF, RL4LM, or event-driven architecture using Kafka/KinesisHands-on with security best practices, access control, and resilience testingAttitudinal / Behavioural TraitsObsessed with reliability, scalability, and graceful failureCalm under pressure, with a bias towards documentation and root-cause analysisCollaborative, humble, and passionate about building tech with real-world business impactActs like an owner, not a manager – builds, ships, and leads from the frontExperience & EducationEssentialB.Tech/M.Tech in Computer Science, Engineering, or related fieldCertifications in AWS, Kubernetes, or SRE frameworks is a plusPrevious roles in high-scale SaaS, e-commerce, or logistics enablement platforms preferredDesirableExposure to SaaS/tech-enabled logistics environmentsExperience in scaling and security practices related to DevOpsJob Type: Full-timePay: ₹2,500, ₹3,000,000.00 per yearWork Location: In person
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