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Discover developers that match your project requirements.No exact match for this specialty yet — here are related experts from our network.
Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.
I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.
Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.
Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.
10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.
AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.
Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.
I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.
Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.
15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.
Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.
Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.
What our C Plus Plus Developers can build

Which engagement model is right for you?
One engineer, ongoing delivery support, or a complete product team. You set the dial. The firm stands behind every level.

Strengthen your existing engineering team with senior specialists who integrate seamlessly into your workflows while you retain full ownership of priorities, roadmap, and day-to-day management.
- Senior engineer(s) integrated into your team.
- Fast onboarding into your workflow.
- Flexible monthly engagement.
- Replacement guarantee if needed.
- Direct communication and full transparency.

Ideal for teams that need experienced engineers backed by technical leadership, ensuring faster onboarding, predictable execution, and consistent delivery without adding management overhead.
- Dedicated senior engineer(s).
- SoftDoes delivery oversight.
- Regular technical and delivery check-ins.
- Optional code reviews and QA support.
- Escalation management.
- Replacement support.
- Flexible team scaling.

Launch products faster with a ready-to-work cross-functional team that brings together the right expertise from day one, helping you scale without the complexity of hiring each role individually.
- Engineers, QA, Designers, PMs, Tech Leads - assembled to fit your project.
- Cross-functional collaboration.
- One engagement structure and one point of contact.
- Easy scaling up or down.
- Team continuity throughout the project.

Need the outcome, not the team?
SoftDoes also delivers complete projects end to end.
- End-to-end project ownership.
- Dedicated Project Manager.
- Engineering, QA, Design, and Product expertise.
- Delivery planning and sprint management.
- Quality assurance throughout development.
- Transparent communication and regular progress updates.
- One accountable partner responsible for successful delivery.


Not sure which engagement model fits?
SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.
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Engagement Flexibility
Launch with a single senior engineer who can own development from day one. Validate ideas, ship faster, and scale only when your product requires additional capacity.
Expand naturally as new priorities emerge. Bring in frontend, backend, QA, DevOps, or design specialists without disrupting your existing workflow.
Transform individual contributors into a dedicated delivery pod. Combine engineering, QA, design, and product expertise working together toward shared outcomes.
Increase or reduce team size based on roadmap, funding, or workload. Stay lean during quieter periods and scale confidently when demand grows.
How to hire a C Plus Plus Developer
Fill out a short form and see who's on the bench. Real profiles, verified histories.
Tell us what you need. We propose two or three candidates from the bench; you interview them directly.
Your engineer starts on your project. Contract, payments, and the guarantee run through us.
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Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How long does it take to hire a C Plus Plus Developer through SoftDoes?
For senior C++ developers, typical industry velocity runs four to eight weeks from sourcing to offer acceptance, and longer when the domain is specialized (embedded, ML inference, finance). SoftDoes compresses this timeline by maintaining a pre vetted pipeline of senior engineers who have already passed technical screens, code reviews, and architecture evaluations. Because the vetting is done before you engage, qualified candidates can be presented within days of a confirmed project scope, rather than starting from a cold search. C++ developers are in high demand due to a steep learning curve, which makes pre vetted pipelines especially valuable for time sensitive projects.
What does it cost to hire a C Plus Plus Developer?
C++ developer salaries in the U.S. range from $76,185 to $106,462 for mid level roles. Mid career C++ developers earn between $120,000 and $145,000 annually. Freelance C++ developers charge around $15 to $100 per hour depending on specialization and geography. When factoring recruitment fees, agency margins, vetting overhead, and replacement risk, the total cost of a hire can reach 1.5x to 2x the base salary. SoftDoes engagement pricing is structured around outcomes, not headcount markups, with flexible models designed to control total cost of ownership rather than just sticker price.
What engagement models are available (dedicated hire, pod, contract)?
SoftDoes offers dedicated hire (full time embedded engineers), pod (a cross functional team ensemble with built in technical leadership), and contract (fixed scope or time and materials). Each model includes engineering led oversight and structured delivery checkpoints. Clients choose based on project duration, autonomy requirements, and scaling needs. A dedicated hire suits long running platform work; a pod fits a defined initiative requiring multiple disciplines; a contract engagement works for bounded deliverables with clear acceptance criteria.
How do you ensure time zone alignment with a C Plus Plus Developer?
SoftDoes maintains its talent pool within North America, ensuring overlap with US and Canadian business hours (UTC minus 5 through UTC minus 8). All developers commit to responsiveness during agreed core hours. Communication norms, async tooling standards, and regular sync cadences are established during onboarding. For client operations spanning multiple time zones, SoftDoes structures coverage so that no critical decision or code review sits idle overnight.
How does SoftDoes technically vet a C Plus Plus Developer?
SoftDoes uses a multi stage evaluation pipeline: an async screen (résumé plus written technical walk through and code sample), a realistic work sample task drawn from production adjacent scenarios, live pair programming observed for trade off reasoning and debugging under pressure, a system architecture design conversation probing scale and failure modes, and behavioral evaluation for communication, cross functional fit, and ownership mindset. Concurrency knowledge, including thread safety and lock free programming, is tested alongside mastery of resource management and the C++ ecosystem's emphasis on modern practices such as memory safety. Reference checks focus on judgment, incident handling, and mentorship rather than generic endorsements. Sales pitches should highlight modern C++ standards and automated testing; SoftDoes ensures every candidate presented meets that bar before the client invests a single interview hour.
What happens if the C Plus Plus Developer isn't the right fit, or I need to scale up or down?
SoftDoes provides a zero risk replacement guarantee. If a developer does not meet early performance milestones, SoftDoes replaces them at no additional cost. Flexible engagement terms allow teams to scale up by adding engineers as project scope grows, or scale down as deliverables close out, without penalty or contract renegotiation. Early checkpoints at day 30 and day 60 catch misalignments before they become costly, and structured offboarding ensures knowledge transfer when a engagement concludes.
The Executive Guide to Hiring a C Plus Plus Developer
A single misaligned C++ hire can cost 100% to 200% of that employee's salary once you factor in recruiting fees, ramp time, senior engineers cleaning up rework, and the opportunity cost of stalled projects. The right placement, by contrast, can cut infrastructure spend by hundreds of thousands per year and compress release cycles from months to weeks. This playbook is a field tested strategy to define, vet, and onboard top tier C Plus Plus Developer talent, built from real lessons across finance, embedded systems, and enterprise platform engineering.
What Separates a Senior C Plus Plus Developer from a Résumé That Checks Boxes
Operational Realities That Define the Role
The C++ programming language sits at the core of system level software where errors carry outsized consequences: memory leaks that crash production, concurrency bugs that corrupt data, undefined behavior that opens security holes. A senior C developer does not merely write code against a spec. Here is what their day actually looks like:
- Modern C++ fluency across standards from C++11 to C++20. They use move semantics, constexpr, coroutines, and concepts as working tools, not conference trivia. Modern C++ proficiency includes features from C++11 to C++20, and mastery of resource acquisition is initialization (RAII) is essential for memory management.
- Systems and OS level depth. They navigate compilers (GCC, Clang, MSVC), linkers, ABI constraints, and cross platform builds. They know hardware constraints, memory models, and can reason about cache locality and branch prediction.
- Performance engineering as a discipline. They set performance budgets, use flame graphs and debugging tools like Valgrind and GDB for diagnosing performance bottlenecks, trace cache misses, and prevent regression across commits. C++ developers respect teams sharing knowledge about memory management and performance profiling.
- Architectural ownership and trade off management. They own API boundaries, versioning, backward compatibility, and error models. They judge when to accept technical debt for speed and when to invest in long term adaptability.
- Operational responsibility alongside SRE and DevOps. They partner on SLOs, error budgets, monitoring, and incident response. They do not throw code over a wall; they ensure it survives real production load.
- Mentorship and cross functional influence. They shape internal libraries, set standards, guide junior programmers, and influence product and business priorities during design conversations.
C++ developers often require strong problem solving and analytical skills. They typically work with both high level and low level programming, which is why hiring C++ talent requires a targeted approach due to specialization. C++ has a steeper learning curve compared to other programming languages, making experienced software engineer candidates rarer and more valuable.
Financial and Operational Returns That Justify the Investment
Every bullet below maps to a measurable line item on an engineering budget:
- Technical debt reduction. A misaligned hire who does not enforce clear APIs or manage ABI changes can generate months of debugging and regression. A senior hire eliminates that drag at the source.
- Faster deployment cycles. When developers understand toolchains, CI/CD, reproducible builds, and static analysis (clang tidy, sanitizers), every incremental release ships faster. Teams reclaim weeks per major release.
- Infrastructure optimization. Efficient C++ code reduces CPU, memory, and cloud resource consumption. In enterprise systems, that translates to lower cost of machines and fewer outages, often saving hundreds of thousands per year.
- Risk mitigation. Errors in C++ tend to be high impact. A concurrency bug in a low level service can compromise security or corrupt data. Senior developers' familiarity with sanitizers, code review practices, and error models reduces that exposure directly.
Defining Requirements Before You Open a Requisition
Audit Your Technical Constraints First
Before posting a job, diagnose the specific problem symptoms this hire must address. A vague "we need a C++ dev" posting attracts generic candidates and wastes everyone's time.
Architecture and Debt Audit
Map the existing codebase. Is latency the issue? Build times? Crash rates? High memory consumption? Difficult feature rollout? The answer shapes the profile. A legacy embedded firmware project demands different expertise than an AI/ML inference pipeline or a high frequency trading system. C++ is extensively used in financial applications like high frequency trading, and it is crucial for developing embedded systems in robotics and appliances. C++ also supports the development of complex applications like databases and web servers. Pinpoint the problem before describing the solution.
Team Dynamics and Autonomy Level
Clarify whether this role is embedded within a product team (reporting to an engineering manager with domain responsibility) or whether the candidate needs to set up an entire architecture as a dedicated pod. For regulated industries like finance or healthcare, many hires require ownership of safety, compliance, and performance, plus the ability to collaborate across dependencies with ML, cloud, or platform teams. The C++ Core Guidelines outline best practices for resource management and memory safety; determine whether your new hire will be the one establishing those practices or following existing ones.
Deployment Model Dynamics
Decide the engagement model before sourcing. In house FTE gives tighter operational control but carries higher fixed cost and slower time to fill. Vetted dedicated remote talent through a talent network reduces ramp friction and provides access to a broader pool. Remote candidates require strong communication, time zone overlap, and clear async norms. Transparently publishing salary bands and remote work options helps attract candidates from the start.
Engineering the Ideal Profile, Not a Generic Job Spec
A job post that reads "C++ developer, 5+ years, STL knowledge" attracts noise. An engineered profile attracts signal. Four components matter:
- Core outcome and mission. Frame the role around a measurable goal: "reduce 95th percentile latency on our trading pipeline by 30%" or "refactor legacy native module for 5x faster startup with proper memory bounds." This filters for candidates who think in terms of impact, not hours.
- Technical stack reality. List precise C++ versions in use, required toolchains, operating systems (Linux, Windows, embedded RTOS), performance profilers, and libraries. C++ developers should be familiar with libraries like Boost and Qt. Specify whether cross platform development, GPU acceleration, or specialized hardware (FPGAs) is in scope. Clear job posts detailing compensation and tech stacks attract qualified C++ developers.
- Decision making authority. Does this developer choose the threading model, memory allocator, APIs, or versioning strategy? Or do they implement specs handed to them? Senior people need decision leeway; define it explicitly.
- Growth trajectory. Define how the hire advances: mentor, tech lead, architect. What metrics measure progress: code quality, architecture influence, performance KPIs, productivity gains, or leading others. Top C++ engineers evaluate the role's trajectory as carefully as the technology.

Let’s Turn Your Idea into Scalable Software
Book a call with the representative to get answers to all the questions you may have.
The Vetting and Onboarding Playbook
A Multi Stage Technical Evaluation Built for Signal, Not Trivia
Sourcing Reality
Traditional recruiting (job boards, generalist recruiters) yields high volume but low depth. Many candidates list C++ skills without the systems thinking or hands on performance engineering experience that separates a senior hire from a mid level one. C++ developers are in high demand due to their specialized skills and a steep learning curve that thins the senior talent pool.
Prescreened engineering talent networks cut through this noise. Managed providers perform initial assessments (code samples, live technical screens, culture fit, communication evaluation) before presenting a candidate. Many only pass roughly 1 in 10 applicants through full vetting. You can source candidates from open source projects to find qualified C++ developers, and niche channels for sourcing include specialized job boards and communities such as Arc and GitHub Jobs. Effective hiring strategies include crafting relevant technical screenings for C++ roles.
Technical Evaluation Pipeline
A funnel designed to test real capabilities, not textbook recall:
- Async screen. Résumé review plus a short written walk through of a past C++ decision and a small code sample (20 to 30 minutes). Tests minimum fluency and communication. Soft skills like communication and code readability are important aspects to evaluate in C++ candidates.
- Work sample or take home task. A realistic, domain adjacent piece of code (extend an API, optimize a module). Reveals how the candidate writes code, handles edge cases, writes testing, and documents decisions. Compensate senior candidates for their time.
- Live coding or pair programming. A realistic problem drawn from your system. Observe clarification questions, trade off reasoning, real time debugging, and how the candidate recovers from a wrong turn. Technical interviews should avoid trivial language trivia and instead focus on practical skills.
- System and architecture design conversation. For senior candidates, present a problem near your domain. Probe scale, latency, consistency, and failure modes. Drill into component choices. Evaluate whether they understand concurrency knowledge, including thread safety and lock free programming, and the memory model.
- Behavioral and cross functional fit. How do they react under pressure? Can they discuss past failures with ownership? Do they ask clarifying business questions? These signals often reveal more about risk than any algorithms question.
- References. Go beyond "would you hire again?" Ask how they handled production incidents, what trade off decisions they owned, and how they mentored others. Prompt references to speak to judgment under uncertain parameters.
The First 90 Days: From Onboarding to Full Ownership
Enterprises routinely underestimate ramp time. Senior engineers produce full impact at 60 to 90 days, not day one. A structured milestone roadmap accelerates the flow from learning to leading:
Days 1 to 30: Learn and integrate. Full access to code repositories, CI/CD pipeline, and toolchains on day one. Assign an onboarding buddy. First small PR or bug fix within the first week. Map system architecture, major services, and cross functional dependencies. Meet stakeholders across the team.
Days 31 to 60: Contribute and own. The developer takes ownership of feature tasks, participates in code reviews (giving and receiving), and begins contributing to architectural discussions. They identify inefficiencies or tech debt. Target roughly 70% to 80% productivity for a senior hire by the end of month two.
Days 61 to 90: Lead and create impact. Own a full feature or subsystem from requirements through production. Mentor or guide other engineers. Drive improvements in processes, testing, and tooling. Engage in reliability and performance tuning. By day 90, aim for close to full sprint velocity with trusted peer standing. Pre boarding (access, accounts, documentation) and check ins at day 30 and day 60 catch misalignments before they compound.
Evaluating Candidates and Choosing a Delivery Partner
Interview Signals That Predict Success or Failure
Red Flags
- Tool obsession. The candidate talks more about IDEs or syntax preferences than architecture, performance, or trade offs. Prioritizing tools over solving business problems signals a narrow focus.
- No failure stories. If they have no example of an engineering decision that failed, or no ownership of mistakes, they either lack experience or lack honesty. Both are disqualifying.
- Flat scope across many years. A "senior" title with responsibilities that never expanded (same types of tasks, no leadership, no architectural involvement) indicates a plateau, not growth.
- Buzzword architectures. The candidate advocates patterns without understanding cost or trade offs ("I always use Kafka," "always microservices") regardless of the project's actual requirements. This flags implementation thinking, not engineering judgment.
Green Flags
- Concrete trade off reasoning. When asked why they chose a specific approach, they articulate cost, latency, memory usage, and maintenance burden with specifics.
- Proactive risk identification. They bring up failure modes, observability, performance under load, and security by design without being prompted.
- Evidence of mentorship and leadership. They have guided junior developers, set code standards, or contributed to internal toolchains and documentation.
- Pragmatic decision making. They balance engineering purity with timeline reality, knowing when to refactor versus ship, and avoiding gold plating.
The SoftDoes Strategic Advantage
SoftDoes operates as a North America focused custom software development and data/AI partner serving clients across the US and Canada. Three structural differences separate SoftDoes from generalist staffing firms:
- Pre vetted senior talent, not résumé forwarding. Every C Plus Plus Developer in the SoftDoes talent pipeline has passed code reviews, architecture tasks, and performance evaluations before reaching your team. The vetting is engineering led, not recruiter led.
- Engineering led delivery oversight. SoftDoes developers are not unmanaged freelancers. Projects include structured delivery management, regular engineering reviews, and progress monitoring. This eliminates the "contractor went dark" failure mode that burns engineering managers.
- Zero risk replacement guarantee with flexible scaling. If a hire does not hit early milestones, SoftDoes replaces them. Teams can scale up or down based on project demands without renegotiating contracts or restarting recruitment from scratch.
C++ is a versatile programming language used to develop desktop applications, embedded systems, game development engines, operating systems, and device drivers. It powers high performance games with stunning visuals and financial system infrastructure alike. C++ is the language of choice for game development and is widely used for financial applications. Whether your project touches real time simulation, ML inference, robotics firmware, or trading site infrastructure, SoftDoes matches the right expertise to the right problem.
Your Next Step
Every week spent with an open C++ seat or the wrong hire in it costs engineering velocity, infrastructure dollars, and competitive position. The net result is compounding delay across your product roadmap.
Book a technical discovery session with SoftDoes architects. Bring your architecture, your constraints, and your timeline. Walk away with a clear assessment of the talent profile you need, the vetting criteria that matter for your system, and a deployment plan measured in days rather than quarters.









































