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Mend.io needed engineers who could tackle algorithmic complexity and build resilient systems. DevsData LLC delivered not just resumes, but precisely matched senior talent.
To strengthen its engineering team, Mend.io set out to hire a senior algorithmic developer and a senior Go developer with expertise in backend systems, concurrency, and distributed architecture. Despite having a capable internal recruitment function, Mend.io recognized that the highly specialized nature of these roles, particularly the rare combination of deep algorithmic knowledge and production-grade system architecture expertise, posed significant sourcing and evaluation challenges. To avoid burdening its internal engineering team and to ensure a fast, technically rigorous selection process, the company partnered with DevsData LLC, a firm known for precision sourcing and deep technical vetting of elite talent.
This case study explores how DevsData LLC successfully identified and secured two rare, senior-level engineers with highly specialized skills. Their expertise helped strengthen Mend.io’s core product offerings and reinforced the company’s position as a leader in cybersecurity and DevOps. This successful engagement also laid the groundwork for an ongoing strategic partnership, with DevsData LLC now serving as a trusted extension of Mend.io’s talent acquisition strategy for future high-impact engineering roles.
Mend.io (formerly WhiteSource) is a globally recognized Israeli software company specializing in open source security and software composition analysis (SCA). With a mission to help development teams manage vulnerabilities, license compliance, and code integrity, Mend.io is a trusted partner for enterprises navigating the complexities of modern software supply chains.
The company’s technology powers secure development at scale, integrating seamlessly with CI/CD pipelines and enabling automated remediation of open source risks. Given the technical depth and architectural demands of Mend.io’s products, the company requires top-tier engineering talent, particularly in areas such as algorithm design, code analysis, and high-concurrency backend infrastructure.
To meet these technical demands and scale its research and development capabilities, Mend.io collaborated with DevsData LLC to recruit senior-level engineers with niche expertise. While Mend.io had an internal recruitment function, the extreme specialization of the required roles, particularly in algorithm design, static analysis, and high-concurrency backend systems, made it difficult to source and assess suitable candidates through standard channels. The company recognized that partnering with an external firm with deep domain knowledge and advanced technical screening capabilities would significantly accelerate the process and reduce the risk of mis-hire. The hiring effort focused on securing a senior algorithmic developer and a senior Go developer, both critical roles supporting the evolution of Mend.io’s core security platform.
As Mend.io looked to strengthen its engineering team with highly specialised talent, the company encountered several critical recruitment challenges. These stemmed from the deeply technical nature of the roles, the niche technology stacks involved, and the strategic importance of the hires to Mend.io’s ongoing platform innovation.
Mend.io wasn’t hiring for conventional software development positions. The company sought:
Candidates needed to bring not only strong theoretical backgrounds but also proven experience implementing performance-sensitive code at scale in production environments.
Recruiting for both roles posed unique and compounding challenges due to their deeply specialized nature and limited candidate availability, particularly in Eastern Europe and Israel.
The senior algorithmic developer role demanded deep expertise in graph theory, static analysis, and data structure optimization, skills typically developed through advanced academic training or competitive programming experience. These profiles are inherently rare in the open job market, as many of the most qualified candidates are engaged in research institutions, R&D labs, or niche security-focused product teams.
The senior Go developer position presented a different but equally difficult challenge. It required hands-on experience building fault-tolerant, high-throughput backend systems for security-sensitive data flows, with a deep understanding of Go’s concurrency primitives, such as goroutines, channels, and memory profiling. While Go adoption is growing, the supply of developers with this precise blend of skills remains limited.
According to the Go Developer Survey 2023, 43% of Go engineers work primarily on microservices, and 75% build systems that integrate with cloud services, affirming Go’s centrality in modern, distributed, backend architectures. However, this popularity contributes to demand pressures: 14% of professional developers reported working with Go in 2023, a 15% year-over-year increase, signaling rising demand that continues to outpace the availability of deeply experienced senior engineers.
Compounding the scarcity, 78% of Go developers use the language professionally, not just in personal or side projects. Moreover, satisfaction with Go is exceptionally high: 90% of developers reported being satisfied using the language, and that figure rises to 94% among those with 5+ years of experience. This makes voluntary churn low, meaning fewer experienced developers are actively looking for new roles, especially in highly specialized domains like DevSecOps or security-focused infrastructure engineering.
As a result, Mend.io’s search for both a senior algorithmic developer and a senior Go developer meant targeting a narrow slice of the global developer market, one already in high demand among tech giants and venture-backed startups. These roles, individually difficult to fill, became exponentially harder when sought simultaneously.
Adding to the challenge, many of the best-qualified engineers in these areas were passive candidates, not actively seeking new opportunities. Reaching and engaging them required personalized, technically credible outreach, tailored messaging, and a compelling employer value proposition. DevsData LLC’s ability to connect with these passive profiles, especially those working in research environments or embedded in security-critical teams, was a key differentiator in overcoming the talent scarcity.
Identifying senior-level candidates who not only possessed the required technical depth but also aligned with Mend.io’s fast-paced, mission-driven engineering culture demanded a precision sourcing strategy, deep technical evaluation, and advisory-led engagement at every step.
Beyond the scarcity of niche engineering talent, Mend.io faced several practical limitations that heightened the challenge of filling these roles. The company was under pressure to align new hires with upcoming product release cycles, meaning the recruitment process had to move much faster than the industry norm. At the same time, Mend.io’s internal recruitment team was already committed to parallel hiring across other functions, leaving little capacity to dedicate to such technically demanding searches without disrupting broader growth plans.
Compensation dynamics further complicated the process, as Israel’s cybersecurity market is one of the most competitive globally, requiring offers strong enough to attract passive senior candidates while preserving internal pay equity. In parallel, the company’s distributed R&D model meant the new hires had to integrate seamlessly into remote teams and deliver impact quickly. These constraints made it essential for Mend.io to partner with a recruitment firm capable of accelerating time-to-hire, engaging passive candidates across regions, and ensuring cultural as well as technical fit from the outset.
Mend.io operates in a high-performance, innovation-driven environment with global R&D collaboration. Hires needed to be able to:
These expectations extended beyond technical qualifications; they required strong communication skills, self-direction, and a high level of ownership, traits that are significantly harder to assess and even rarer to find when paired with deep algorithmic or backend infrastructure expertise. Given this combination of demanding soft and hard skill requirements, Mend.io needed a recruitment partner capable of going beyond standard sourcing, delivering precision-vetted candidates with the strategic alignment and mindset to contribute from day one.
At DevsData LLC, we approach recruitment as a strategic lever for product and R&D advancement, particularly when hiring for specialized, high-stakes roles that shape the direction of core technology. Our method is research-led, technically rigorous, and centered on long-term value creation for engineering-driven companies.
For Mend.io, an Israeli technology leader building cutting-edge tools for software composition analysis, we designed a bespoke recruitment strategy tailored to identify and engage elite candidates with specialized experience in algorithms and Go development. Our approach was all about finding the right skills, the right experience, and the perfect cultural fit to thrive at Mend.io. To achieve this, we began with a detailed calibration phase, working closely with Mend.io’s engineering leadership to define success criteria for each role. Together, we developed a structured candidate evaluation matrix outlining key technical competencies, domain-specific expertise (e.g., graph theory, Go concurrency), and behavioral attributes such as autonomy, accountability, and communication in distributed teams. This alignment ensured that every presented candidate not only met the technical bar but also the interpersonal and cultural expectations critical to Mend.io’s fast-paced, globally distributed environment.
Our recruitment team for Mend.io included:
Our goal was not simply to fill urgent roles, but to build a repeatable, high-precision recruitment model that could serve Mend.io’s evolving engineering needs, anchored in deep technical vetting, strategic alignment, and seamless collaboration.
To meet Mend.io’s exacting technical requirements, DevsData LLC implemented a phased hiring model, focusing sequentially on each specialized role. We began with the senior algorithmic developer, as this role was directly tied to the evolution of Mend.io’s core vulnerability detection engine, a critical component of the platform. The algorithmic work had clear downstream dependencies, including systems that the Go developer would later support and scale. By prioritizing this role first, we addressed a foundational need that informed architectural decisions across the product. Once the algorithmic groundwork was in place, we shifted focus to the senior Go developer, whose expertise in backend infrastructure was essential for operationalizing and scaling these capabilities. This strategic sequencing ensured technical alignment with Mend.io’s product roadmap and allowed us to deliver deeply qualified candidates without sacrificing speed or fit.
This phased, precision-driven approach has proven effective across multiple engagements, for instance, during our recruitment process for a demanding financial institution, we filled algorithmically intensive roles under tight performance constraints, completing three senior hires in just 21 days with a 100% retention rate after the first year. Similarly, in our work securing unique individuals to revolutionize the pharma industry, we overcame geographic limitations and niche technical requirements to deliver two senior engineers within six weeks, achieving an offer-to-acceptance ratio of 100% and reducing the client’s projected hiring timeline by more than half.
All shortlisted candidates underwent rigorous, role-specific assessments simulating real-world problems Mend.io’s team faces. These included:
| Role | Key Evaluation Areas |
|---|---|
| Algorithmic developer | – Complexity-focused problem-solving exercises – Graph theory, optimization, and static analysis tasks – In-depth discussion of previous work involving compilers, abstract syntax trees (ASTs), or dependency resolution |
| Go developer | – Concurrency-heavy backend scenarios – Microservice orchestration, REST API design, and fault-tolerant infrastructure exercises – Code review simulations and debugging of race conditions and memory leaks |
These multi-step evaluations filtered for engineers who not only met Mend.io’s technical bar but were ready to contribute to architectural decisions immediately.
Given the scarcity of candidates with deep algorithmic knowledge and advanced Go expertise, DevsData LLC implemented a fast-track evaluation process designed to reduce time-to-decision and increase candidate engagement. This approach enabled us to move from initial outreach to offer in an average of 8 days per role, significantly faster than the industry average of 4–6 weeks for similarly senior, niche technical positions. By compressing technical screening, feedback loops, and final decision-making into a highly coordinated workflow, we minimized candidate drop-off and secured top-tier talent before competing offers could materialize. This accelerated timeline proved especially critical in a market where passive candidates often disengage if processes stall beyond 10–14 days. This included:
This enabled Mend.io to engage and close top candidates ahead of competing offers, a key advantage in a competitive hiring landscape.
To ensure a seamless integration, DevsData LLC provided active support to both Mend.io’s internal engineering and HR teams and the newly hired candidates, helping bridge the gap between offer acceptance and productive contribution. Our team facilitated onboarding by:
This hands-on onboarding support helped minimize friction, reduce the risk of early attrition, and ensured the hires were fully operational within weeks, maximizing Mend.io’s return on recruitment investment and reinforcing DevsData LLC’s commitment to full-cycle delivery, not just candidate placement.
Throughout the engagement, we continually refined our process to maximize outcomes for Mend.io. Candidate messaging was adjusted to emphasize the company’s mission and engineering culture, which led to a 40% higher response rate from passive candidates and improved engagement during outreach. We also prioritized sourcing channels that consistently yielded stronger profiles: GitHub and Stack Overflow generated the majority of shortlisted candidates, while LinkedIn delivered broader reach. This channel optimization cut initial screening time by nearly 30% compared to early cycles.
In parallel, we provided real-time compensation benchmarking and market insights across Israel and Eastern Europe, enabling Mend.io to remain competitive without inflating offers. These insights helped both offers close on the first presentation, with no renegotiations required. Mend.io’s hiring managers highlighted the transparency and adaptability of this process as a key factor in building trust and sustaining momentum, reinforcing the value of DevsData LLC’s iterative, data-driven recruitment model.
To identify top-tier engineers capable of solving Mend.io’s algorithmic and infrastructure challenges, DevsData LLC focused its sourcing on high-calibre engineering hubs across Eastern and Central Europe, with a secondary focus on Israel. These regions were not chosen arbitrarily: our decision was based on a comparative analysis of talent availability, compensation benchmarks, English proficiency, and prior success rates in similar searches. For instance, Poland offered a deep pool of Go backend developers with proven expertise in high-throughput systems, while Ukraine and Romania had concentrations of engineers with advanced algorithmic training, often from top technical universities and competitive programming backgrounds.
Other global regions were considered but deprioritized. Western Europe was ruled out due to significantly higher compensation expectations and limited candidate availability in niche algorithmic roles, while Asian markets presented timezone and cultural alignment challenges relative to Mend.io’s Israel-based engineering leadership. The final sourcing map was developed collaboratively with Mend.io’s hiring managers, ensuring that regional focus aligned with both technical requirements and practical considerations such as budget, remote collaboration feasibility, and long-term retention prospects. This data-driven, consultative selection process allowed us to maximize both candidate quality and recruitment efficiency.
Our targeting strategy balanced technical proficiency, cultural compatibility, and availability of niche skill sets:
By prioritizing these regions, we ensured access to candidates who combined technical depth, English fluency, and a startup-ready mindset, qualities closely aligned with Mend.io’s culture of fast iteration, ownership, and performance excellence. In Poland, the strong presence of engineers working in international companies and fintechs provided a steady supply of backend developers with hands-on experience in distributed, high-throughput systems. Their exposure to global clients and multinational projects meant they could easily integrate into Mend.io’s fast-moving, product-oriented workflows.
Ukraine and Romania, on the other hand, offered deep pools of algorithmically skilled engineers, many of whom had backgrounds in mathematics, research, or competitive programming. These candidates brought the problem-solving depth required for static analysis and graph-based challenges, complementing Mend.io’s need for innovation in vulnerability detection. Their academic rigor translated well into Mend.io’s expectation for autonomy and ownership in high-stakes projects. Israel, meanwhile, provided access to passive candidates already immersed in cybersecurity and DevSecOps, where familiarity with security-critical systems was second nature. Their contextual understanding of Mend.io’s domain reduced onboarding friction and allowed for immediate impact. Taken together, these regional strengths matched Mend.io’s operational culture of rapid iteration, distributed collaboration, and uncompromising technical standards.
In close collaboration with Mend.io’s engineering leadership, we developed two highly specific technical profiles tailored to the company’s product roadmap and platform architecture goals. Mend.io initially outlined broad requirements for “a strong algorithmic engineer” and “an experienced Go backend developer.” However, given the criticality of these roles, they relied on DevsData LLC to refine these high-level needs into detailed, actionable role definitions. Over several calibration sessions with Mend.io’s CTO and senior engineers, we translated core product challenges, such as enhancing static analysis accuracy and scaling high-throughput, security-sensitive systems, into concrete technical and behavioral requirements.
For the senior algorithmic developer, this meant not only demanding expertise in data structures, graph theory, and optimization algorithms, but also prioritizing candidates with exposure to static code analysis, compiler theory, or competitive programming, backgrounds that aligned directly with Mend.io’s vulnerability detection engine. For the senior Go developer, we went beyond “Go experience” to specify proven ability in designing fault-tolerant distributed systems, performance tuning, and concurrency-heavy architectures, particularly in security and compliance contexts. These refinements sharply differentiated qualified candidates from the broader Go developer market and reduced the risk of mismatched hires.
By combining Mend.io’s strategic roadmap with our technical recruitment expertise, we created targeted definitions that narrowed the field from thousands of potential candidates to a precise shortlist of elite engineers capable of owning and evolving mission-critical components of Mend.io’s backend and core engine.
Understanding the stakes involved in high-seniority hires, we designed a premium candidate journey that went well beyond the standard recruitment experience. In many processes, candidates encounter vague job descriptions, delayed responses, or impersonal coding tests, which often cause disengagement among senior, passive profiles. DevsData LLC eliminated these pitfalls by ensuring clarity, timeliness, and respect throughout the process.
For Mend.io, this meant candidates were given clear context on technical rigor, cultural expectations, and the strategic importance of the roles before interviews began. Feedback was consistently provided within 24 hours, reinforcing that their time and expertise were valued. Communication was carefully adapted to emphasize Mend.io’s mission in open-source security and the scale of its engineering challenges, which resonated strongly with top-tier engineers motivated by impact.
This premium approach resulted not only in a 40 percent boost in engagement but also in tangible outcomes for Mend.io: zero drop-offs after final interviews, immediate offer acceptance, and strengthened reputation within senior talent networks. By creating a candidate experience that reflected professionalism and respect, DevsData LLC positioned Mend.io as an employer of choice in highly competitive technical markets.
Following the recruitment strategy developed in close collaboration with Mend.io, DevsData LLC proceeded with a structured, multi-phase implementation focused on delivery speed, candidate quality, and process transparency.
Rather than a one-off recruitment effort, DevsData LLC implemented a repeatable process tailored to sourcing and vetting elite engineers for Mend.io’s core technology challenges. This structured framework now enables Mend.io to confidently expand its engineering capacity with future hires, particularly in algorithmic development, backend infrastructure, and specialised language stacks like Go. Rather than being a one-off process, the model was documented, shared, and embedded into Mend.io’s internal recruitment playbook, giving its HR and engineering leadership a repeatable template for evaluating niche technical talent. DevsData LLC also remains engaged as a long-term partner, providing market insights and technical interview support whenever the framework is applied to new searches.
In practice, the framework has already shortened Mend.io’s subsequent hiring cycles by more than 30% compared to its baseline processes, while maintaining the same level of technical depth in evaluations. According to Mend.io’s Head of Engineering, the ability to “re-run the playbook” for new algorithmic and backend hires has been a decisive factor in scaling teams without sacrificing quality or cultural alignment. This validation highlights not only the success of the initial two placements but also the enduring value of DevsData LLC’s advisory-led approach.
Our tailored assessments ensured each candidate delivered not only strong technical performance but also the cultural attributes Mend.io considered essential for long-term success. The company operates in a lean, high-responsibility engineering environment where hires must thrive in fast-paced, distributed teams and take full ownership of complex technical challenges. Together with Mend.io’s leadership, we defined cultural fit around three core traits: autonomy in problem-solving, accountability for outcomes, and clear communication in globally distributed teams.
To evaluate these attributes, DevsData LLC incorporated structured behavioral interviews, scenario-based discussions, and peer-style technical reviews into the selection process. For example, candidates were asked to walk through instances where they had independently diagnosed and solved production issues, or to describe trade-offs made when collaborating across time zones. Their ability to explain architectural decisions clearly to both technical and non-technical stakeholders was also closely assessed. These methods provided objective insight into whether candidates could integrate smoothly into Mend.io’s engineering culture of rapid iteration, shared responsibility, and continuous improvement. Both hires not only demonstrated this alignment during assessment but have since validated it in practice, taking ownership of mission-critical components, leading architectural initiatives, and contributing visibly to product excellence.
Throughout the engagement, we continuously integrated real-time insights from the Israeli and Eastern European tech markets into the recruitment process. For example, our compensation benchmarking revealed that senior Go developers in Poland were commanding packages 15-20% higher than Mend.io’s initial budget assumptions. Based on this intelligence, we advised an upward adjustment to remain competitive, which directly contributed to both offers being accepted without renegotiation.
We also identified messaging nuances that resonated more strongly with passive candidates in different regions: in Eastern Europe, emphasizing technical autonomy and exposure to advanced algorithmic challenges boosted engagement rates, while in Israel, highlighting Mend.io’s domain impact in cybersecurity attracted candidates already immersed in security-critical environments. These refinements increased passive candidate response rates by over 30% compared to early outreach.
Finally, our market scans detected a tightening in the availability of algorithmic specialists in Ukraine due to increased demand from multinational R&D hubs opening in Kyiv and Lviv. Anticipating this shift, we redirected sourcing capacity toward Romania and Poland earlier than competitors, ensuring pipeline stability. This foresight enabled Mend.io to maintain momentum and secure hires before talent scarcity deepened further.
By combining these data-driven adjustments with deep technical evaluation, DevsData LLC not only delivered senior-level talent on time but also positioned Mend.io with a sustainable, repeatable hiring model that remains resilient in a highly competitive landscape.
We launched sourcing operations across Poland, Ukraine, Romania, and Israel, prioritizing passive candidates with the exact technical backgrounds defined in our earlier profiling sessions. Outreach efforts leveraged LinkedIn Recruiter, GitHub, competitive programming portals, and DevsData LLC’s proprietary database. Messaging emphasized Mend.io’s mission, engineering culture, and the autonomy embedded in the roles, resulting in high engagement rates, particularly from candidates with competitive programming experience or experience in platform-level backend design.
As soon as the initial candidate pool was validated, our in-house technical team deployed role-specific evaluations. These assessments were developed through a collaborative process: Mend.io’s engineering leadership outlined the real-world bottlenecks their teams faced, such as improving the accuracy of static analysis models and handling concurrency under security-sensitive workloads, while DevsData LLC’s senior interviewers translated those challenges into structured, time-bounded exercises. This ensured that every task mirrored Mend.io’s production environment while remaining fair and standardized for candidates.
Candidates for the algorithmic role completed complexity-focused problems and graph optimization tasks modeled on Mend.io’s vulnerability detection engine, while Go candidates worked through concurrency-heavy backend scenarios and debugging of fault-tolerant systems derived from Mend.io’s architecture. All interviews were conducted live, with engineering-relevant debugging and systems-level decision-making at their core. Outcomes were scored using a consistent rubric co-designed with Mend.io’s CTO, and results were returned to both candidates and Mend.io’s hiring managers within 24 hours.
Candidates consistently noted that the process, though rigorous, gave them an authentic view of the technical challenges they would face at Mend.io. Several expressed that the assessments “felt like solving real engineering problems, not generic coding puzzles,” which helped reinforce their interest in the role and contributed to the 100% offer acceptance rate.
Offer cycles were fast-tracked. DevsData LLC coordinated contract preparation, offer framing, and compensation discussions to ensure smooth closure. Offers were presented with clear context about the long-term technical vision and each candidate’s projected role within it. Both offers were accepted without delay or renegotiation.
To support onboarding, our team worked with Mend.io’s HR and engineering leads to ensure seamless access to tools, documentation, and communication channels. Post-hire, we conducted structured check-ins to gather feedback from both hires and internal stakeholders, allowing us to verify integration and adjust support where needed.
Throughout the engagement, we monitored conversion data across sourcing channels, refined outreach copy based on performance, and adjusted compensation positioning in response to market movements. These operational refinements allowed us to maintain hiring momentum and candidate quality without compromising speed or process rigor.
By executing this hands-on, technically grounded recruitment process, DevsData LLC successfully delivered two senior-level hires, each aligned with Mend.io’s core product challenges and engineering culture, within weeks of kickoff.
Through DevsData LLC’s targeted recruitment strategy, technically rigorous evaluations, and fast-cycle selection process, Mend.io successfully secured two senior-level engineers with rare, high-stakes capabilities: a senior algorithmic developer and a senior Go developer. These hires brought critical depth to the company’s engineering team, reinforcing backend scalability, enhancing algorithmic performance, and supporting Mend.io’s product innovation roadmap.
DevsData LLC delivered two strategically significant placements:
Both hires were fully integrated within weeks and began contributing to system-level performance enhancements and long-term architectural decisions. Mend.io’s engineering leadership noted that the new team members were able to take ownership almost immediately, with one hire driving early improvements in graph traversal algorithms and the other optimizing backend concurrency to reduce latency in production environments. Their rapid ramp-up and visible impact validated not only the technical fit but also the cultural alignment achieved through DevsData LLC’s rigorous vetting process.
We achieved an interview-to-hire ratio 67%, well above industry benchmarks for algorithmic and Go-based roles. This was made possible by our tailored technical screening process, which effectively filtered out mismatched candidates early on. As a result, Mend.io’s internal team could concentrate solely on top-tier prospects, minimizing hiring friction and accelerating decision-making cycles.
Both offers were accepted, with no drop-offs or renegotiations. Key factors included:
Six months post-hire, both engineers remain actively engaged, reflecting strong fit, satisfaction, and impact.
By delivering niche, senior-level talent with precision and speed, DevsData LLC helped Mend.io strengthen its engineering core, enabling the company to build faster, innovate deeper, and maintain its edge in the competitive DevSecOps and software composition analysis landscape.
The partnership between Mend.io and DevsData LLC delivered significant value at a pivotal stage in the company’s technical evolution. By successfully hiring a senior algorithmic developer and a senior Go developer, Mend.io was able to reinforce its engineering capabilities without stretching its Israel-based core team.
These hires took ownership of highly specialised, performance-critical areas, algorithm design and backend system architecture. Their work directly supported the company’s goals of improving scan accuracy, reducing runtime latency, and enhancing platform reliability for enterprise customers.
Within the first months, Mend.io saw measurable improvements in backend throughput and a reduction in compute resource usage, contributing to both cost-efficiency and performance scalability.
Beyond immediate technical gains, the engagement established a repeatable, precision-driven hiring model tailored to niche roles in high-demand stacks like Go and algorithmic R&D. DevsData LLC became a strategic talent partner, equipping Mend.io with the ability to scale globally while maintaining engineering excellence, system robustness, and product velocity, laying the foundation for long-term innovation and competitiveness in the cybersecurity and DevSecOps space.
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If you answered “yes” to any of the above, DevsData LLC can help you scale with precision, just as we did for Mend.io.
Let’s find your next algorithmic expert – reach out to us at general@devsdata.com to build your elite tech team.
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“I interviewed about a dozen different firms. DevsData LLC is truly exceptional – their backend developers are some of the best I’ve ever worked with. I’ve worked with a lot of very well-qualified developers, locally in San Francisco, and remotely, so that is not a compliment I offer lightly. I appreciate their depth of knowledge and their ability to get things done quickly.”
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