Highlight
API and data ownership
Domain-driven design, contract-first APIs, and data modeling that support long-term maintainability.
Hire back-end engineers who keep systems reliable.
API, data, and platform specialists who build for uptime, security, and scale.
Deeptal back-end leads own architecture, migrations, and hardening—pairing with product to ship resilient services without slowing teams.
Hire a top back-end developer nowNo-risk trial. Pay only if satisfied.
Clients rate Deeptal back-end teams 4.9 / 5.0 on average.
Pulse surveys after onboarding and milestone readouts.Compensation snapshot
Bench-readyAnnual bands across key markets to plan budgets confidently.
US & Canada
$115k – $165k
Glassdoor Oct 2025, total comp
United Kingdom
£55k – £80k
Glassdoor Oct 2025, total comp
Germany
€58k – €82k
Glassdoor Oct 2025, total comp
The Balkans
€32k – €60k
Glassdoor Oct 2025, total comp
Avg. seniority
8.7 yrs
Launch readiness
10-14 days
From brief to onboarding
Reliability coverage
SLOs + runbooks
Instrumented in sprint 1
Trusted by product and engineering teams
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Delivery highlights
What you get with Deeptal
Senior talent, clear rituals, and proactive communication from week one.
Highlight
Reliable and secure by default
SLOs, observability, security reviews, and rollback strategies built into every release train.
Highlight
Migrations without drama
Monolith decompositions, schema evolution, and service extractions executed with feature flags and clear cutover plans.
Highlight
Teams that pair with platform
Back-end leads collaborate with DevOps, QA, and product to keep releases coordinated and transparent.
Coverage map
Where this team drives outcomes
Where back-end leads move the needle
Common engagements we run for CTOs, platform heads, and staff engineers.
- API redesigns and event-driven refactors for performance and clarity.
- Billing, payments, and compliance-heavy services hardened for audits.
- Data modeling, caching, and query optimization for analytics and reporting.
- Migration playbooks: versioned contracts, feature flags, and safe cutovers.
How we cover the stack
Senior engineers with depth across services, data, and platform.
- Node.js/TypeScript, Go, Java, .NET, Python across REST and GraphQL APIs.
- Event-driven architectures with Kafka, RabbitMQ, SNS/SQS, and streaming.
- Databases: PostgreSQL, MySQL, MongoDB, Redis, and data warehouse patterns.
- Infrastructure: AWS/Azure/GCP, Kubernetes, IaC, CI/CD, and observability.
Specialties
Specialist coverage by pod
Architecture and design
Domain-driven designAPI contracts + versioningEvent + queue designData modeling + caching
Reliability and security
Observability + SLOsIncident responseSecurity reviews + authDisaster recovery plans
Delivery habits
CI/CD + rollout strategyFeature flagsTesting + contract testsDocumentation + RFCs
Team enablement
Mentorship + pairingPlatform collaborationStakeholder commsPlaybooks + handover
Sample talent
Meet ready-to-start specialists
Profiles curated for your stack, time zones, and delivery rituals.
Ethan V.
Principal Back-end Engineer
Austin | CST
Go, gRPC, PostgreSQL, Kubernetes
Architected event-driven order platform processing 8k TPS, implemented SLOs and incident playbooks, and led a phased monolith decomposition.
Priya D.
Senior Platform Engineer
Bengaluru | IST
Java, Spring Boot, Kafka, AWS
Hardened payments services for PCI, added canary releases, and improved p95 latency by 34% through caching and schema tuning.
Marcin K.
Staff Back-end / Tech Lead
Warsaw | CET
Node.js, TypeScript, GraphQL, Terraform
Led API gateway consolidation, authored contract tests, and shipped federated GraphQL with clear ownership and documentation.
Hiring playbook
How to hire back-end developers
Back-end engineers should combine strong systems thinking with calm delivery habits.
Align on reliability and data goals
- Clarify uptime targets, latency budgets, and data needs so interviews test for the right instincts.
- Ask candidates to walk through how they protected SLAs while shipping new features.
Probe data modeling and integration depth
- Have candidates sketch core domains, contracts, and migration strategies.
- Look for experience with queues, caches, and observability over simple CRUD.
Check security and compliance instincts
- Discuss auth patterns, secrets management, and how they handle audits or compliance requirements.
- Seek evidence of secure defaults, logging, and threat modeling.
Validate operational habits
- Review how they manage CI/CD, rollout, and rollback strategies.
- Listen for ownership during incidents and how they write runbooks.
Onboard with guardrails
- Share architecture notes, service contracts, and observability dashboards up front.
- Pair them with platform and QA in sprint one to set standards and rituals.
How it works
Engage in three clear steps
1
Talk to a delivery lead
Share your reliability targets, domain complexities, and timelines. We anchor screening to outcomes, not just a language list.
2
Meet hand-selected talent
Within days you see a short list of back-end seniors and leads calibrated to your stack, rituals, and time zones.
Average time to match is under 24 hours once the brief is clear.
3
Start with a no-risk sprint
Kick off with a trial sprint and clear success criteria. Swap or scale the team quickly if the fit is not perfect.
Pay only if satisfied after the initial milestone.
Exceptional talent
How we source the top back-end engineers
We continuously screen API, data, and platform specialists so teams mobilize fast without sacrificing quality.
Every engineer is assessed for depth, collaboration, and delivery habits—not just tool familiarity.
Thousands apply each month. Only top talent are accepted.
Step 1
Language & collaboration evaluation
Communication, collaboration signals, and product intuition checks to ensure they can lead as well as build.
Step 2
In-depth skill review
Technical assessments and architecture conversations tailored to APIs, data modeling, and resilience scenarios.
Step 3
Live screening
Optional: Your team can join
Live exercises to test problem solving, observability instincts, and quality bar under real-time constraints.
Step 4
Test project
Optional: You can provide your own brief
A short-term project to validate delivery habits, communication cadence, and production readiness in your domain.
Step 5
Continued excellence
Ongoing scorecards, engagement reviews, and playbook contributions to stay on the Deeptal bench.
Capabilities
Capabilities of back-end developers
Our back-end teams excel in APIs, data modeling, security, and reliability—shipping stable platforms at pace.
API and contract design
REST and GraphQL APIs with clear versioning, documentation, and consumer-aligned contracts.
Event-driven architecture
Queues, topics, and streaming pipelines that decouple services while keeping data consistent.
Database design and tuning
Schema design, indexing strategies, caching layers, and query optimization for transactional and analytical workloads.
Security and compliance
Authentication, authorization, encryption, auditing, and compliance-ready logging and monitoring.
Performance and scalability
Load testing, capacity planning, and autoscaling tuned to SLAs and cost targets.
Observability and incident response
Metrics, logs, traces, SLOs, and runbooks to detect and resolve issues quickly.
Migration and modernization
Monolith-to-service transitions, database migrations, and platform upgrades with minimal downtime.
CI/CD and release engineering
Pipelines with automated tests, canary releases, feature flags, and rollback strategies.
Trusted by product and platform leaders
Find the right back-end talent for every project
From API specialists to platform-aware tech leads, Deeptal teams match your stack, rituals, and time zones.
API and integration specialists
Engineers focused on designing, documenting, and evolving service contracts safely.
Payments and billing engineers
Experts in payments, ledgers, and compliance-heavy domains with audit-ready guardrails.
Platform-aware back-end engineers
Seniors who pair closely with DevOps to keep cost, reliability, and observability in check.
Data + pipeline back-end
Engineers who blend API work with data pipelines, streaming, and warehouse integration.
FAQs
How much does it cost to hire a back-end developer?▾
Costs vary by region, seniority, and engagement model. Glassdoor data from October 2025 shows median total compensation for back-end engineers around $130,000 in the US, £72,000 in the UK, and €75,000 in Germany. We calibrate teams to your budget and reliability goals before kickoff.
How quickly can I meet vetted back-end talent?▾
Most clients see calibrated shortlists within 48 hours. You can interview immediately and start a trial within 10–14 days once the brief is defined.
How do you vet reliability and security experience?▾
We use scenario-based architecture interviews, assess incident stories, and run domain-specific test projects. References confirm performance under real-world constraints.
Can I hire hourly, part-time, or full-time?▾
Yes. We place back-end engineers on hourly, part-time, or full-time engagements based on your roadmap and budget.
What if the first match is not the right fit?▾
We replace quickly at no additional cost during the trial period and continue until you are confident in the match.
Do you have talent for regulated domains?▾
Yes. We shortlist engineers with proven experience in PCI, SOC2, HIPAA-like, or other regulated environments to match your compliance needs.
Explore services
Explore related Deeptal services
Looking for end-to-end delivery? Browse Deeptal programs across technology, marketing, and consulting.
Hiring guide
How to hire back-end developers
Back-end roles blend architecture, data, and operational thinking.
Use this guide to evaluate technical depth, reliability instincts, and delivery habits.
Are back-end developers in demand?
Yes. Modernization, platform migrations, and API-first products keep demand high.
Engineers who pair systems thinking with solid delivery practices are the scarcest.
What distinguishes great back-end engineers?
Clear thinking about domains, contracts, and data integrity.
Operational maturity: observability, incident handling, and rollback strategies.
Security and compliance awareness without slowing delivery.
Core layers to cover
APIs and services: contract design, documentation, and compatibility strategy.
Data and storage: schema design, caching, and consistency approaches.
Operations: CI/CD, monitoring, SLOs, and on-call practices.
When to choose specialists vs. generalists
Choose specialists for high-risk domains like payments, healthcare, or heavy migrations.
Choose generalists for product delivery that spans multiple services and integrations.
How to run the process
Define SLAs, compliance constraints, and integration partners before interviewing.
Review architecture diagrams and code samples, then use live exercises for edge cases.
Pilot with a short project to validate collaboration, quality, and incident readiness.
Median total compensation (Glassdoor, Oct 2025, USD equivalent)
USA
$130,000
Canada
$97,000
United Kingdom
$72,000
Germany
$75,000
Romania
$43,000
Ukraine
$46,000
India
$16,000
Australia
$104,000
Top back-end engineers are in high demand.
Move fast with senior platform talent, transparent reporting, and a trial sprint to prove the fit.