The fastest way to hire back end engineers without the agency tax.
Back end engineers are the backbone of every product - building the APIs, services and data layers that power the experiences your users love.
On Haystack you get matched with back end developers who are actively exploring new roles, with verified skills, salary expectations and the tech stack they want to work with.
Back End Engineers ready to interview
A sample of back end engineers currently active on Haystack. Sign in to browse full profiles, see expected salaries, and start a conversation.
Salary benchmark for back end engineers across UK, US and EU
Anchored to live Haystack data. London, Berlin tech hubs and US coastal markets skew toward the upper bound.
GBUnited Kingdom · GBP · base salary
Junior · 0–3 yrs£45k–£60k
Mid · 3–6 yrs£65k–£85k
Senior · 6+ yrs£90k–£130k
DEGermany · EUR · base salary
Junior · 0–3 yrs€50k–€70k
Mid · 3–6 yrs€75k–€100k
Senior · 6+ yrs€105k–€150k
USUnited States · USD · base salary
Junior · 0–3 yrs$65k–$85k
Mid · 3–6 yrs$95k–$125k
Senior · 6+ yrs$130k–$190k
EUR and USD bands are indicative conversions from live UK data using current market multipliers. Local seniority, sector and equity packages can push offers higher.
What strong back end engineers ship with
5 core · 5 nice to have
Core stack
Node.jsPythonJavaGoRuby
Nice to have
.NETPostgreSQLMicroservicesAWSKubernetes
Hire back end engineers by city
Explore localised salary benchmarks, top employers and live candidates in any of our 24 cities.
Use these across technical and behavioural rounds. Tap a card for what to listen for.
Q 01Walk me through how you'd design a rate-limited API for a multi-tenant SaaS product.What to listen for
Listen for: structured problem framing, trade-off awareness, specific metrics, and ownership beyond the code.
Q 02Tell me about a time you debugged a production performance issue. What was the root cause and how did you fix it?What to listen for
Listen for: structured problem framing, trade-off awareness, specific metrics, and ownership beyond the code.
Q 03How do you decide between a relational store, a document store, and a key-value cache for a new service?What to listen for
Listen for: structured problem framing, trade-off awareness, specific metrics, and ownership beyond the code.
Q 04Describe your approach to observability and on-call across the services you've owned.What to listen for
Listen for: structured problem framing, trade-off awareness, specific metrics, and ownership beyond the code.
Hiring through Haystack takes days, not months
A repeatable five-step playbook our employers run for every role.
Day 0
Book a chat
A short call and we set up the role with you.
Day 1
Applicants within hours
We advertise the role and our AI sources people who fit.
Day 2–10
Interview rounds
We handle scheduling. You focus on the conversation.
Day 10–14
Offer & references
We support both sides through offer and reference checks.
Day 14–21
Onboard
Structured ramp template so your new hire ships in week one.
92%
Offer acceptance. Because every candidate has already aligned on level, comp and working pattern before you meet, back end engineer offers via Haystack are accepted 92% of the time.
The back end engineer hiring playbook
Back End Engineer specialist or generalist - which should you hire?
The honest answer depends on the half-life of your back end engineer surface area. If you expect to keep investing in Node.js and Python work over the next 18-24 months, a specialist back end engineer will out-deliver a generalist on day-30 throughput and stakeholder confidence.
If your team is under ten people, or back end engineer responsibilities are spread across two or three roles already, hire a strong generalist who has shipped this work in anger at least twice. The cross-disciplinary pattern recognition will pay for itself the first time priorities collide.
On Haystack we surface both - filtered by whether the candidate self-identifies as a back end engineer specialist and verified against their last two roles. Expect to pay around £65k–£85k for a mid-level UK hire, scaling toward £90k–£130k for senior.
What strong back end engineers actually bring
A great back end engineer is not the one with the longest CV - it is the one who has owned a hard Node.js call and changed how they work because of how it landed. Across the engineering hires we have placed in 2025-2026, the same patterns keep showing up.
An opinion on what NOT to do with Node.js, backed by an example where adding it would have hurt the team.
Back End Engineers who pair Python depth with cross-functional fluency - they bring product, design and data into their decisions, not just engineering.
A written 30/60/90 plan in week one, anchored to Node.js delivery milestones rather than ramp-up vanity metrics.
Versioned, observable back end engineer work - measurable outputs, structured logs of decisions, and a clear rollback path on every change.
Red flags when interviewing back end engineers
Every discipline has its own pattern of plausible-sounding answers that fall apart in production. For back end engineers, these are the patterns that most often correlate with a six-month regret hire on the employer side.
Defines "senior back end engineer" purely by years of experience, not by the scope of decisions they own.
Lists Python on the CV but cannot describe a single trade-off they hit in production - all framework, no friction.
Treats the back end engineer role as a job title rather than a problem to solve - no opinion on what they would change about how the discipline is typically practised.
Only ever worked on greenfield back end engineer projects - inheriting a messy, half-built system is a different muscle.
A sample take-home for back end engineer candidates
When teams ask us how to evaluate a back end engineer beyond a CV and a chat, we recommend a 90-minute paid take-home that mirrors real work, not a trivia quiz. The brief below is one we have refined with employers hiring across engineering teams.
Give the candidate a small, intentionally imperfect artefact tied to "design, build and maintain apis and backend services". Their task is to add a second capability - tied to "model and optimise relational and non-relational data stores" - while keeping existing behaviour intact. Then grade in three parts.
Correctness: the new work satisfies the brief and at least one edge case the candidate flags themselves.
Judgement: did they refactor, wrap or work around the existing imperfection? Any of the three is fine - we are listening for the reasoning, not the verdict.
Communication: a short written note explaining what they would do differently with another week, what they noticed about Node.js, Python and Java, plus working exposure to Go, Ruby and .NET, and the assumptions they made along the way.
What to expect in the first 30 days from a Haystack back end engineer hire
By week one, the new back end engineer should have shipped a small, low-risk artefact to production or a stakeholder - a docs fix, a small process change, a first review on someone else's work. The goal is to validate the loop, not to ship anything heroic.
By week two, the back end engineer is shadowing the active workstreams, attending standups in observe-mode, and asking pointed questions about why specific decisions were made. If they are not asking those questions, the hire is going to plateau.
By day 30, they own one cleanly-scoped slice of the back end engineer surface area, have published a public ramp-up doc, and are the named point of contact for stakeholders inside that slice. Every Haystack employer gets a structured onboarding template, so you are not reinventing the playbook each hire.
Leading tech employers use Haystack to hire world-class candidates
For anyone in the industry struggling with tech hiring and finding those really niche candidates, I'd highly recommend using Haystack. Ultimately Haystack helped us find great candidates that we couldn't find anywhere else.
Working with Haystack has helped us widen our brand, it's helped us recruit great people, and it's been an easy thing to do. When we think about our candidate experience and the experience of people in my team, I want that rounded experience and that's what we've seen with Haystack.
I'm really impressed with the candidates that I'm finding on Haystack, I'm looking at them and thinking, 'wow, this looks like a great engineer'. We made multiple hires in our first year. It's been a really nice way to hire tech talent, with a very unique approach.
Mid-level back end engineers earn around £65k–£85k in the UK, €75k–€98k in Germany and $95k–$125k in the US. Senior and staff engineers reach £90k–£130k+, €105k–€150k+ and $140k–$190k+ respectively. London fintech, Berlin scale-ups and US coastal markets pay at the top of band.
Which back end languages and frameworks can I hire for on Haystack?
Haystack has vetted back end engineers across Node.js, TypeScript, Python (Django, FastAPI), Java, Kotlin, Go, Ruby on Rails, .NET, Elixir, and Rust. You can filter by primary language and framework before reviewing matches.
How long does it take to hire a back end engineer through Haystack?
Most employers book first-round interviews within 48 hours of going live and complete hires in under 21 days. Back End Engineers on Haystack are actively exploring roles, so response rates are dramatically higher than cold outreach.
Do candidates work remotely, hybrid, or on-site?
Every candidate sets their own working-pattern preferences (fully remote, hybrid, or on-site) and the location radius they'll consider. You can filter for the working pattern that suits your team before sending a single message.
What does Haystack charge?
Haystack offers two options: a flat subscription with unlimited hires, or a pay-on-success model with no upfront cost. See the pricing page for current plans - there are no hidden agency fees.
Related roles & guides
Stay inside the Haystack network - every link is interview-ready.
Node.js
Python
Java
Go
Ruby
.NET
PostgreSQL
AWS
Kubernetes
