Almaty Tech Talent: How 20,000 Relocated Engineers Failed to Close the Hiring Gap
Almaty's technology sector grew revenue by 25 to 30 per cent in 2024. Wage inflation for senior engineers ran at 15 to 20 per cent annually. And the city absorbed an estimated 15,000 to 20,000 Russian IT specialists who arrived after 2022's geopolitical upheaval. By every surface measure, this market should have loosened. It has not.
Senior backend engineering roles in Almaty's technology corridor still take five to eleven months to fill. The vacancy-to-applicant ratio for senior Go and Java developers sits at 4.2 to 1. Executive searches for VP Engineering and CTO positions average six to nine months. The talent that arrived was supposed to be the correction. Instead, it became a secondary problem layered on top of the original one.
What follows is a ground-level analysis of why Almaty's tech hiring market remains one of the most difficult in Central Asia despite apparent supply-side relief. It examines where the real gaps sit, what is driving them, and what organisations hiring senior technology leaders in this market need to understand before they begin a search.
The Influx That Changed Less Than It Should Have
The narrative was straightforward. Following the geopolitical disruptions of 2022, tens of thousands of Russian IT professionals relocated to Kazakhstan. Almaty, with its established tech infrastructure and cultural proximity, was the primary destination. The expectation, widely reported in regional media and echoed in government forecasts, was that this influx would moderate wage growth and ease the acute shortage of senior software engineers.
According to the EBRD Transition Report 2024 and integration data from Labour Solutions Kazakhstan, the reality has been considerably more complicated. The relocated engineers often lack fluency in Kazakh business culture. Many demand salary premiums denominated in hard currency rather than tenge. A material proportion prefer to continue working remotely for Russian employers rather than joining local firms.
This is the original synthesis this article is built around: the Russian talent influx did not fail because the engineers lacked technical skill. It failed because geographic relocation and labour market integration are fundamentally different events. Moving 20,000 engineers into a city does not create 20,000 candidates. It creates 20,000 residents, some fraction of whom will eventually become candidates, on timelines and terms that do not match the urgency of the employers who need them now.
The result is a market where the headline supply figure is misleading. Almaty's senior tech roles remain at five to seven months average time-to-fill. The hidden pool of passive talent that should theoretically exist is either unavailable, unwilling, or misaligned with what local employers actually require.
A Dual-Track Market With a Single Bottleneck
Almaty's technology sector operates on two distinct tracks. The premium tier is dominated by super-app ecosystems and international outsourcing operations. Kaspi.kz, the city's largest technology employer, maintains approximately 3,500 to 4,000 IT professionals in Almaty. Kolesa Group employs roughly 600 in technical roles. EPAM Systems operates a delivery centre of 600 to 800 engineers. Luxoft, now part of DXC Technology, employs 400 to 500.
Below this premium tier sits a fragmented market of over 300 local software houses and SaaS startups. These firms compete for the same talent pool but lack the compensation budgets, equity structures, and brand recognition to win contested candidates.
The Premium Tier's Gravitational Pull
The bottleneck is not distributed evenly. It concentrates at the senior end. A senior software engineer with five or more years of experience in high-load systems commands $4,500 to $6,500 gross monthly. A Data Science Lead earns $5,500 to $7,500. These figures have risen from $3,200 to $4,200 just two years earlier.
The premium employers can absorb these increases. Kaspi.kz's vertically integrated business model generates the margin to pay above market. Kolesa Group's expansion into fintech-adjacent services creates roles that justify elevated compensation. For the 300 smaller firms, every annual salary cycle becomes a retention crisis. They train engineers to productivity over six to twelve months, only to lose them to an employer who can offer 30 to 40 per cent more.
The Fragmented Tier's Compounding Problem
The fragmented tier's difficulty is not just compensation. It is also the education pipeline. Local universities produce 7,000 to 8,000 IT-related graduates annually, but according to a World Bank diagnostic on Kazakhstan's digital workforce, only 20 to 30 per cent possess job-ready skills in modern software engineering practices. The International IT University (IITU), Almaty's primary computer science institution, graduates 400 to 500 specialists per year. Industry feedback indicates these graduates require six to twelve additional months of training before reaching productivity.
This means the smaller firms are not just competing with Kaspi.kz for experienced talent. They are also functioning as unpaid training academies for the premium tier. The cost of developing a junior engineer to a mid-level contributor is borne by the firm that hired them. The benefit is captured by the firm that poaches them eighteen months later.
The structural consequence is a market where mid-tier employers cannot build. They can only borrow time before their best people leave.
Three Searches That Illustrate the Real Problem
Aggregate statistics describe the shape of a market. Individual searches reveal its texture.
The 11-Month Go Developer Search
During 2023 and 2024, Kaspi.kz attempted to fill a senior backend engineering role for its payment processing microservices team. As reported by Kaspi.kz's HR Director in an interview with LS Media in March 2024, the search required screening over 400 CVs and extended outreach to engineers at three local banks. The role remained open for 11 months. It was ultimately filled by relocating a candidate from Tbilisi at a 35 per cent salary premium above local market median.
This is not a story about an unreasonable job specification. Go-based microservices architecture is the backbone of Kaspi's platform. The firm needed a senior engineer with fintech experience in a language where Almaty's total senior talent pool numbers in the hundreds, not thousands.
The Acqui-Hire That Replaced a Search
Kolesa Group's expansion into AI-driven listing recommendations required a lead ML engineer with NLP expertise specific to the Russian language. According to Forbes Kazakhstan's analysis of tech M&A published in January 2025, the search stalled for nine months between Q2 2024 and Q1 2025. Kolesa resolved it not by finding a candidate but by acquiring a smaller Almaty-based AI startup. The acquisition was structured primarily as a talent play, with the acqui-hire premium equivalent to 18 months of market salary for the lead engineer.
When a company buys another company to fill a single role, the traditional executive recruiting process has not just failed. It has been bypassed entirely. The cost of that bypass is a multiple of what a successful direct search would have cost.
The Split-Role Compromise
EPAM's Almaty delivery centre reported to the Kazakhstan Association of IT Companies that senior DevOps and SRE roles for a major European telecom client averaged seven months to fill in 2024. The eventual solution was to split one senior role between two mid-level engineers and a remote contractor from Armenia. The client received the coverage it needed, but at higher aggregate cost and lower architectural coherence than a single senior hire would have provided.
Each of these examples points to the same conclusion. The talent is not available at the price, speed, or specification that employers require. The workarounds, whether relocation premiums, acqui-hires, or role fragmentation, all cost more than a successful search. The question is not whether to invest in better search methodology but how much the alternative costs.
The Compensation Equation That Drives Executive Attrition
For individual contributors, Almaty's wage inflation is painful but manageable. For executive and leadership roles, it intersects with a geographic arbitrage problem that the city cannot solve through compensation alone.
A CTO or VP of Engineering at an Almaty fintech scale-up earns $12,000 to $18,000 gross monthly, according to the Hays Kazakhstan Salary Guide 2024 and placement data from executive search firm Morgan Hunt Almaty. This represents a 25 per cent premium over equivalent roles in Astana. It also represents a 40 per cent discount to Dubai.
Dubai offers zero per cent income tax, an English-language business environment, and access to global venture capital. According to the Hays GCC Salary Guide 2024, fintech CTOs in Dubai command $20,000 to $35,000 monthly. For a Kazakhstani technology leader with international experience, the calculus is stark. The professional challenge in Almaty may be more interesting. The financial proposition in Dubai is unambiguously larger.
This creates a one-directional pipeline for executive talent. Almaty develops CTOs through its fintech ecosystem. Dubai harvests them. LS Media's analysis of the phenomenon, described as Kazakhstan's "tech exodus," captures the dynamic accurately: the leaders most capable of building at scale are precisely the leaders most attractive to markets that pay more for the same capability.
The result is that CTO and VP-level searches in Almaty operate in an almost entirely passive market. Average tenure at leading firms reaches 3.5 to 4 years. Voluntary turnover is low not because satisfaction is high but because the switching costs within Almaty are low. The real competition is not another Almaty employer. It is another country.
Understanding how to negotiate salary and total compensation in this context requires more than benchmarking against local peers. It requires benchmarking against the international offer that every senior candidate either holds or could obtain.
Astana, Tbilisi, and the Tightening Competitive Ring
Almaty does not compete for technology talent against a single rival. It competes against three distinct geographic alternatives, each exploiting a different weakness.
Astana offers what Almaty's government incentive structure does not match. Through the Astana Hub programme, the capital provides zero-rate corporate income tax for IT firms, compared to the standard 20 per cent in Almaty (with partial relief available through Tech Garden). For VP-level engineering leaders, Astana-based firms, particularly those serving government digitalisation contracts, offer $10,000 to $15,000 monthly with materially lower living costs. Housing affordability is the deciding factor for candidates in their late thirties seeking homeownership.
Tbilisi competes on an entirely different axis. For Russian-speaking senior developers and ML engineers, Georgia offers zero per cent tax on foreign-sourced income for remote workers. Local Georgian tech salaries run 20 to 30 per cent below Almaty. But the lifestyle proposition, visa-free access for Russian nationals, lower cost of living, and a more established expatriate community, makes Tbilisi the primary competitor for the post-Soviet freelance and remote-work talent pool.
Dubai, as described above, competes at the executive tier with an offer Almaty cannot match on compensation alone.
The strategic implication for any organisation running international executive searches into or out of Almaty is that the competitive set is not other Almaty employers. The competitive set is a ring of cities, each of which appeals to a different segment of the talent pool. A search strategy that treats this as a local market will systematically underestimate the offer required to move a passive candidate.
The Regulatory and Currency Risks That Compound Every Search
Hiring in Almaty's technology sector carries risks that exist nowhere in the compensation data. Two are material enough to reshape search strategy.
Data Localisation and Compliance Cost
Amendments to Kazakhstan's Personal Data Protection Law, effective from 2025, require that operators of "significant information resources," a category that captures most fintech and e-commerce platforms, store personal data of Kazakhstani citizens on servers physically located within the Republic. According to legal analysis from GRATA International, compliance costs range from $200,000 to $500,000 in initial capital expenditure per medium-sized platform, with ongoing operational overhead.
This regulation creates two talent consequences. First, it generates sudden demand for cybersecurity and compliance engineering specialists who understand both the technical requirements and the local regulatory framework. These professionals barely existed as a category two years ago. Second, it adds 8 to 12 per cent to the cost base of Almaty-based platforms, compressing the margin available for competitive compensation packages.
For hiring leaders in AI and technology businesses, the data localisation requirement means that any senior engineering hire must now factor regulatory compliance capability into the role specification. The era of hiring pure-play technologists without compliance awareness is ending.
Currency Volatility and the Margin Squeeze
The Kazakhstani tenge traded within a 15 per cent band against the US dollar in 2024, driven by its correlation with oil prices and the Russian ruble. For export-oriented IT services firms, which earn revenue in dollars or euros but pay salaries in tenge, a 10 per cent devaluation increases local salary costs by approximately 8 per cent in dollar terms, according to the National Bank of Kazakhstan's Financial Stability Report.
This creates a perverse dynamic for outsourcing firms like EPAM and Luxoft. When the tenge weakens, their exported services become cheaper for international clients, but their local talent costs rise in real terms because engineers demand wage adjustments to maintain purchasing power. Consumer price inflation ran at 8.5 to 9.2 per cent in 2024. An engineer whose nominal salary increased by 15 per cent experienced a real increase closer to 6 per cent. That gap drives dissatisfaction even in a rising-compensation environment.
The practical consequence for search is that compensation offers made in tenge carry implicit currency risk. The cost of a failed senior hire in this environment includes not just the replacement cost but the market-timing cost of re-entering a search at a higher prevailing wage level.
What This Market Requires From a Search Strategy
Almaty's technology talent market has three characteristics that make conventional hiring methods systematically inadequate.
First, 80 to 85 per cent of successful senior hires involve direct headhunting, referral networks, or targeted outreach rather than responses to job postings, according to hh.kz's recruitment analytics for the IT sector. For executive roles, the market is almost entirely passive. A job posting reaches, at best, the 15 to 20 per cent of the market that is actively looking. The other 80 per cent must be found through direct search and talent mapping.
Second, the competitive geography is international, not local. Any search strategy that benchmarks compensation, role design, and candidate proposition only against other Almaty employers will lose candidates to Astana, Tbilisi, and Dubai. Market benchmarking must encompass the full competitive ring.
Third, speed matters disproportionately. In a market where searches routinely run seven to eleven months, the firms that compress this timeline gain a compounding advantage. Every month a critical role remains open is a month of lost product development, deferred platform capability, or, in Kolesa Group's case, a month closer to the point where an acqui-hire becomes the only option.
KiTalent's approach to executive search in technology markets addresses each of these constraints directly. Through AI-powered talent mapping and headhunting methodology, KiTalent identifies and engages passive candidates who do not appear on any job board. The model delivers interview-ready executive candidates within 7 to 10 days, compressing search timelines from months to weeks. A pay-per-interview pricing structure means clients invest only when they meet qualified candidates, eliminating the sunk cost of retained search fees on roles that prove difficult to fill.
For organisations competing for senior technology leadership in Almaty, where the candidates you need are not visible on any job board and the cost of a prolonged search is measured in lost product cycles and acqui-hire premiums, start a conversation with our executive search team about how we approach this market. With a 96 per cent one-year retention rate across 1,450 completed executive placements, KiTalent brings a methodology built for markets where conventional approaches consistently fall short.
Frequently Asked Questions
What is the average salary for a senior software engineer in Almaty in 2026?
As of 2026, senior software engineers with five or more years of experience in high-load systems earn $4,500 to $6,500 gross monthly in Almaty. Data Science Leads command $5,500 to $7,500, and senior DevOps engineers earn $4,000 to $6,000. These figures reflect 15 to 20 per cent annual wage inflation since 2022. Kazakhstan's flat 10 per cent personal income tax means net take-home is approximately 90 per cent of gross, but total cost-to-employer reaches 120 to 125 per cent of gross due to social contributions. CTO and VP Engineering roles at fintech scale-ups range from $12,000 to $18,000 monthly.
Why is it so hard to hire senior tech talent in Almaty?
Three factors converge. The vacancy-to-applicant ratio for senior Go and Java developers is 4.2 to 1. Only 15 to 20 per cent of senior placements come from active job applications, meaning 80 per cent or more require direct headhunting approaches. And international competition from Dubai, Tbilisi, and Astana continuously pulls the most experienced professionals away from the local market. The 15,000 to 20,000 Russian IT specialists who relocated to Kazakhstan since 2022 have not materially reduced time-to-fill for senior roles due to cultural integration barriers and hard-currency salary expectations.
How does Almaty compare to Astana for tech hiring?
Almaty employs approximately 60 per cent of Kazakhstan's total IT workforce and generates the majority of the country's IT service exports. However, Astana's Hub programme offers zero-rate corporate income tax for IT firms compared to Almaty's standard 20 per cent rate. VP-level engineering salaries in Astana range from $10,000 to $15,000 monthly with lower living costs. Almaty retains advantages in ecosystem density, with major employers like Kaspi.kz and Kolesa Group headquartered there, and deeper access to experienced senior engineers.
What are the biggest risks for tech companies hiring in Kazakhstan?
Data localisation requirements under amended personal data protection legislation mandate that fintech and e-commerce platforms store citizen data on servers within Kazakhstan, adding $200,000 to $500,000 in compliance costs per platform. Currency volatility presents a second material risk. The tenge traded within a 15 per cent band against the dollar in 2024, creating margin pressure for export-oriented firms. Secondary sanctions risk also affects firms maintaining Russian-linked fintech or software clients, particularly in payment processing.
How long does it typically take to fill a senior tech role in Almaty?
Senior technical roles in Almaty average five to seven months to fill. Specific searches have run considerably longer. Executive roles at CTO and VP Engineering level average six to nine months. These timelines reflect the passive nature of the senior talent market and the international competition that any search must contend with. KiTalent's AI-enhanced direct search methodology is designed to compress these timelines by identifying and engaging passive candidates within days rather than months.
What tech skills are most in demand in Almaty's market?
The highest-demand skills centre on backend engineering in Go and Java for fintech systems, ML and AI engineering with specific expertise in Cyrillic-language NLP, DevOps and cloud migration capabilities including Kubernetes and Terraform, and cybersecurity professionals who understand both PCI-DSS and Kazakhstan's data localisation requirements. The combination of fintech-specific technical skill with local regulatory knowledge creates the narrowest and most contested talent segments in the market.
