Hiring Backend Engineers
Hire Backend Engineers Who Architect the Core of Scalable Systems
At Thinkteks, we connect fast-scaling companies with backend engineers who don’t just write code—they architect distributed systems that are reliable, performant, and built for scale.
Backend Engineering: The Invisible Infrastructure Behind Innovation
The backend is where the real engineering happens. From asynchronous job queues and event-driven microservices to zero-downtime deployments and complex data replication strategies—backend engineers are the ones who ensure your systems scale predictably, perform under pressure, and stay secure by design.
Our talent pool is rigorously vetted to ensure every engineer you hire can design, build, and maintain high-performance systems across modern cloud-native stacks.
Our Backend Engineers Excel In:
API Development – RESTful and GraphQL endpoints with strict versioning, rate limiting, and caching strategies.
Microservices Architecture – Domain-driven design, service mesh patterns, and gRPC/Protobuf protocols.
Cloud-Native Development – AWS, Azure, and GCP with serverless, autoscaling, and cost-optimized architecture.
Datastores & Storage Engines – Relational (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), and streaming platforms (Kafka, Kinesis).
Programming Languages – High-concurrency backends in Go, memory-safe systems in Rust, JVM-based services in Java/Kotlin, and async-first Node.js or Python services.
DevSecOps Practices – End-to-end CI/CD pipelines (GitHub Actions, GitLab CI), Docker & Kubernetes orchestration, infrastructure-as-code (Terraform, Pulumi).
Security Engineering – OAuth2.0, OpenID Connect, SAML, encrypted data flows, API gateway configurations, and OWASP-compliant practices.
Why Hire Backend Engineers Through Thinkteks?
Technical Depth, Proven Execution
Every candidate undergoes multi-stage technical assessments—covering systems design, scalability trade-offs, security models, and production-readiness.Production-Grade Experience
Our engineers have shipped backend services supporting millions of users, not just prototypes. They’re fluent in observability, rollback strategies, and real-world SLAs.Tailored to Your Stack & Domain
Whether you’re operating in Python with FastAPI, Java Spring Boot, or event-driven Go, we align candidates to your exact tools, business logic, and scaling needs.Fast, Precision Delivery
Receive 3–5 technically vetted and culturally aligned engineers within 7 business days—ready to deploy code, not just pass interviews.
Industries We Support
Our backend engineers bring production-grade expertise across a wide spectrum of high-impact, technology-driven sectors:
Fintech
Low-latency transaction engines, real-time fraud detection pipelines, blockchain integrations, and compliance with PCI-DSS, SOC2, and PSD2 standards.SaaS Platforms
Horizontally scalable service architectures, multi-tenant database systems, feature flagging, and high-availability deployment pipelines.E-Commerce
Global-scale APIs for order management, resilient checkout workflows, inventory synchronization, and secure payment gateway integration with PCI compliance.Healthcare
HIPAA-compliant systems, FHIR API integration, end-to-end audit trails, and secure patient data exchanges with granular access control models.EdTech
Real-time collaboration features, user engagement analytics, SCORM/xAPI content delivery backends, and LTI-based integrations with major LMS platforms.Logistics & Supply Chain
Route optimization engines, warehouse management integrations, IoT telemetry ingestion, and real-time fleet tracking with scalable event-stream processing.Telecommunications
Carrier-grade backend systems, real-time messaging queues (RabbitMQ, Kafka), VoIP API integration, and scalable user provisioning across geographies.Media & Streaming
Low-latency content delivery, transcoding workflows, DRM-enforced APIs, and backend systems tuned for high concurrency and uptime.Cybersecurity & Identity
Authentication layers using OAuth2/OpenID Connect, session management at scale, anomaly detection pipelines, and secure audit log persistence.AI/ML Infrastructure
Model versioning systems, feature store pipelines, inference microservices, and GPU-backed job schedulers built for MLOps scalability.
Compensation Benchmarks (U.S.) Level
For Backend Engineers, entry-level professionals with foundational experience typically earn between $100K and $130K, while those at the mid-level, often contributing to system architecture and cloud infrastructure, see ranges from $130K to $160K. Senior engineers, especially those driving large-scale backend systems, can expect $160K to $200K or more, with top performers at companies like FAANG or high-growth startups exceeding that, especially when equity and bonuses are factored in