Backend Tech Lead

About the role

A Backend Tech Lead at Accellor owns the design, delivery, and long-term health of scalable, distributed backend systems while leading and growing the engineers who build them. This is a hands-on technical role with real people-management responsibility: you set technical direction, drive delivery across one or more squads, and actively mentor and unblock the engineers reporting into you. You are equally comfortable in a design review, a 1:1, and a production incident. Responsibilities Technical Leadership & Architecture Own the architecture for backend services and platforms - microservices boundaries, API contracts, data models, and inter-service communication patterns. Make and document key technical decisions (build vs. buy, sync vs. async, consistency vs. availability trade-offs) and align teams around them. Set and enforce engineering standards: code quality, testing strategy, observability, and operational readiness. People & Team Leadership Directly manage, mentor, and grow a team of backend engineers, including running 1:1s, setting goals, giving feedback, and supporting career development. Plan, distribute, and track work across the team - breaking down epics, sequencing delivery, and removing blockers so the team ships predictably. Mentor junior and mid-level engineers through pairing, code review, and design coaching, raising the bar for the whole team rather than being the single point of delivery. Partner with product, architecture, and other engineering leads to translate business goals into technical roadmaps and realistic commitments. Delivery & Engineering Execution Lead by example with hands-on contribution to high-impact and complex parts of the codebase. Design and operate microservices: service decomposition, API design (REST/gRPC/GraphQL), versioning, and backward compatibility. Build event-driven and asynchronous workflows using message queues and streaming platforms (Kafka, RabbitMQ, SQS, or similar). Design data persistence and caching strategies across relational and NoSQL stores, with appropriate use of caching layers (Redis/Memcached) for performance and scale. Scalability, Reliability & Security Ensure systems are designed for scale, resilience, and graceful degradation - load balancing, rate limiting, retries, circuit breakers, and idempotency. Drive observability across services: structured logging, metrics, distributed tracing, and actionable alerting. Enforce backend security best practices: authentication/authorization (OAuth2, OIDC, JWT), least-privilege access, secrets management, and secure handling of data in transit and at rest. Own production quality - on-call leadership, incident response, root-cause analysis, and follow-through on remediation. Collaboration & Governance Collaborate with DevOps and platform teams on CI/CD, containerization, and deployment strategy for backend services. Recommend and implement standards for code organization, service ownership, and technical governance across teams. Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of professional software engineering experience, with a strong track record of building and operating production backend systems at scale. Demonstrated experience leading both projects and people - owning end-to-end delivery for a team, managing engineers directly, and mentoring juniors. You must be able to point to specific teams you've grown and projects you've driven to delivery. Languages & Frameworks: Deep expertise in at least one major backend stack (e.g., Java/Spring Boot, Go, Python, Node.js, or C#/.NET) and the ability to work fluently across more than one. Distributed Systems & Microservices: Strong, demonstrable experience designing and operating microservices and distributed systems in production. APIs: Hands-on expertise designing and evolving APIs (REST, gRPC, or GraphQL), including contracts, versioning, and documentation. Messaging & Async: Practical experience with message queues / event streaming (Kafka, RabbitMQ, SQS, etc.). Data: Strong SQL skills and solid experience with relational databases, plus working knowledge of NoSQL stores and data modeling for scale. Caching: Hands-on experience with caching strategies and tools (Redis, Memcached). Containers & Orchestration: Hands-on experience with Docker and Kubernetes. Networking: Solid understanding of networking fundamentals - HTTP/HTTPS, TLS, DNS, service discovery, and load balancing. Version Control & Practices: Strong Git/GitOps proficiency and a deep commitment to code review, testing, and CI/CD. Cloud: Demonstrable experience building backend systems on at least one major cloud platform (AWS, Azure, or GCP). Preferred Experience with service mesh, API gateways, or platform/internal-developer-platform tooling. Experience with performance profiling, load testing, and capacity planning. Familiarity with infrastructure-as-code and partnering closely with DevOps/SRE. Exposure to AI-driven or data-intensive backend worklo

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