MTS - Backend Platform API Engineering

Member of Technical Staff — Backend Platforms (MTS‑BE) — Mumbai/Pune/Kharagpur (Onsite Only)Build the rails the agents run on. Memory, consent, identity, events, billing—fast, safe, observable.Why this role existsKai and Nav can only be as trustworthy as the platform beneath them. Your work turns principles into APIs: least‑privilege by default, idempotent by design, observable at every hop, and cost‑aware always.What you’ll do- Design and ship multi‑tenant services for authN/Z, memory, consent ledger, billing, notifications, and webhooks.- Implement rate‑limits, idempotency keys, retries, and backoffs that survive the real world.- Build observability (OpenTelemetry traces, metrics, logs), SLOs, error budgets, and canary releases.- Partner with Security/Privacy on tokenization, encryption, key rotation, access scopes, and audit trails.- Own performance budgets: keep p95 latency tight and unit costs trending down.- Keep CI/CD boring and fast; automate rollbacks; write runbooks people actually use.30 / 60 / 90 outcomes- 30 days: Service templates and CI/CD live; auth flow + service identity running; baseline tracing and dashboards; golden read/write paths defined.- 60 days: Memory + consent ledger GA for design partners; idempotent webhooks; rate‑limit governance; staged rollouts; on‑call with clear playbooks.- 90 days: >99.95% uptime on core APIs; p95: auth 30% infra cost drop vs week‑2 baseline; incident MTTR .Signals we’re looking for- You’ve owned high‑traffic services with tight SLOs and can show the graphs.- Strong API and data‑model taste; you sweat schema evolution and migrations.- Pragmatist about queues, caches, and consistency; you measure before you tweak.- Habit of writing crisp postmortems and deleting complexity.The stack you’ll touchPython/Go • GRPC/HTTP • Postgres • Redis • Queues (Kafka/Rabbit/Cloud) • OpenTelemetry • Terraform/K8s • Feature flags • CI/CD.How we workCampus pilots, weekly ships, privacy by architecture, written decisions, humane on‑call, tiny senior team.Compensation (Kharagpur cost‑of‑living aligned)₹1.0L – ₹1.4L per month + meaningful equity. Board‑approved bands; refreshers tied to shipped impact.ApplyEmail with subject “MTS‑BE — Full-time / Internship”Include links to services you’ve shipped and five bullets with before→after metrics you moved (latency, uptime, cost, or DX) in the real world with clear examples and Github repo references with the best project contributions you've completed so far in your personal and professional life / portfolio.Please note we are a small team with minimal overhead so please be patient with our responses as we have received over 100,000 applications for every job we open. We will prioritize candidates with completed applications and the best projects that showcase their open-source and community work along with their individual contributions.Company DescriptionHushh AI specializes in creating user-centric products and solutions that enable individuals to manage, organize, and derive meaningful value from their personal data. Focused on data ownership, privacy, and monetization, our platform empowers users to turn their data into financial assets while maintaining full control over their privacy preferences. Hushh offers tools such as private on-device clouds, AI-powered assistants, and concierge services, all designed to enhance user experiences. Our core offerings include seamless data sharing, consent management, and luxury brand partnerships, offering tailored solutions through trusted ecosystems like Google, AWS, Microsoft, and Apple. At Hushh, we work to transform personal data into powerful assets, ensuring security and privacy at every step.Role DescriptionThis is a full-time on-site role for a Member of Technical Staff (MTS) - Backend Platforms Engineer located in Mumbai. The Backend Platforms Engineer will be responsible for designing, developing, and maintaining scalable backend systems to support Hushh’s products and services. Key responsibilities include developing APIs, integrating secure data workflows, managing cloud infrastructure, and collaborating with cross-functional teams to ensure efficient data processing and storage. The role requires implementing best practices for performance optimization, scalability, and system security to deliver high-quality backend solutions.Qualifications- Proficiency in backend development with expertise in programming languages such as Python, Java, or Node.js- Strong understanding of API design, RESTful services, and microservices architecture- Experience with cloud platforms like AWS, Google Cloud, or Azure, along with containerization technologies (Docker, Kubernetes)- Knowledge of database systems, including relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra)- Familiarity with data security standards, privacy protocols, and secure coding practices- Demonstrated ability in optimizing system performance and implementing scalable solutions- Problem-solving skills, teamwork, and communication abilities to collaborate effectively in a fast-paced environment- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field- Experience in the fintech or data privacy domains is a plus