Hire Operations Specialists With U.S. Support
Hire Operational Assistance Developers at SoftDoes — vetted, senior engineers backed by a U.S. delivery team. Start with one, scale to a full team.
Senior Operational Assistance Engineers
Only vetted developers with 5+ years of experience.
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Receive the first matching profiles within one business day.
Delivery Team Included
We provide a complete delivery team to ensure results.
Hire remote Operational Assistance Developer
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 Operational Assistance Developers
can build

Which Engagement Model Is Right For You?
Whether you need one engineer, ongoing delivery support, or a complete product team, we have an engagement model that fits.

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.

Not sure which engagement model fits?
Or maybe you don't want to manage engineers at all.
- 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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What we do for you
From sourcing and vetting to onboarding and ongoing support, we handle the entire process so you can focus on building products instead of managing hiring.
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Unbeatable Transparent Pricing Model.
Work with senior-level engineers through a clear and scalable engagement model built for modern teams. No hidden fees, long hiring cycles, or unpredictable outsourcing costs — just vetted talent, flexible collaboration, and full operational transparency from day one.
Whatever your Operational Assistance challenge, we've solved it before
Whether you're scaling your team, modernizing an application, or accelerating product delivery, our React engineers become an extension of your team from day one.
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Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How quickly can SoftDoes deploy senior operations specialists?
Because our specialists are already vetted, with verified experience, references, and past results checked before they ever reach you, we skip the slowest parts of traditional hiring. After a discovery session where we understand your bottlenecks, tool stack, and priorities, we present a shortlist of candidates matched to your requirement profile. You interview only finalists who fit, which keeps the process focused and fast. Timelines depend on how specialized your needs are and how quickly your team can schedule interviews, but most clients move from first conversation to an active specialist far faster than a conventional in house search allows.
What pricing models and rates should we expect when hiring dedicated business operations talent?
Pricing depends on seniority, the scope of responsibilities, the tools involved, and whether you need a single embedded specialist or a broader dedicated team. We typically structure engagements as monthly dedicated arrangements, which give you predictable costs without the recruiting fees, benefits overhead, and long commitments of a permanent hire. During the discovery session we review your goals and recommend the right level of experience, so you are not paying senior rates for routine work or saving money on a role that truly needs deep expertise. You receive a clear proposal before any commitment, with no hidden fees or surprises later.
How is time zone overlap with North America handled for operations teams?
We prioritize working hours that overlap with your core business day across North American time zones, because operations work depends on timely responses to orders, vendors, and internal requests. Specialists join your live calls, standups, and escalation discussions during shared hours, then continue progress through asynchronous updates in your project management tools, shared documents, and messaging channels. This combination keeps work moving without forcing anyone into unsustainable schedules. During onboarding we agree on response expectations, meeting windows, and reporting cadence, so leadership always knows what is happening and frontline teams never wait long for answers on urgent operational issues.
What does your technical vetting methodology look like for business operations expertise?
Our vetting focuses on real operational judgment rather than resume keywords. Candidates walk us through processes they personally improved, including measurable before and after results, and we verify those claims through references. They complete a realistic process improvement or reporting exercise, such as redesigning a messy order workflow or turning raw data into a weekly KPI summary with recommendations. We assess their fluency with CRMs, ERPs, project management software, spreadsheets, and no code automation tools. We also evaluate how they prioritize competing requests and communicate with both executives and frontline teams, because operations success depends on trust as much as skill.
Who owns the intellectual property produced by specialists working on our operations?
You do. Everything a specialist creates while working on your engagement belongs to your company, including standard operating procedures, process documentation, reports, dashboards, automation workflows, templates, and any configuration work inside your CRM, ERP, or project management systems. Our agreements state this clearly, and confidentiality obligations protect your internal data, vendor relationships, and customer information. Because documentation is a core part of the role, your company keeps a lasting asset even if the engagement ends. That knowledge stays with you rather than walking out the door, which is exactly the opposite of what happens when undocumented processes live in one person's head.
How flexible are your contracts if our business operations project scope or team size changes?
Flexibility is built into how we work. If your priorities shift, you can scale the engagement up by adding specialists for a migration or seasonal surge, or scale down when processes stabilize and less hands on support is needed. We avoid locking clients into rigid long commitments that ignore how quickly growing companies change. If a specialist turns out not to be the right fit, our zero risk replacement guarantee means we find a better match without restarting your search from scratch. We review scope with you regularly, so the team you pay for always matches the work you actually need done.
The Executive Guide to Hiring an Operations Specialist
A bad operations hire rarely fails loudly. It fails quietly, through missed vendor deadlines, reports nobody trusts, orders that stall between teams, and leaders who end up doing the work themselves at midnight. A slow hiring pipeline costs you just as much, because every week the seat stays empty your best people absorb the chaos instead of growing the business. The right senior operations specialist does the opposite: they bring order within weeks and free leadership to lead. This playbook gives you a field tested strategy to define, vet, and integrate top tier talent skilled in business operations, without the expensive guesswork.
What Is Really on the Line
Mastery in Operations Means Owning Outcomes, Not Taking Orders
Senior operations talent is not measured by how many tools they can list. It is measured by business impact, by how resilient your processes become under pressure, and by how wisely they manage tradeoffs between speed, cost, and control. Here is what that looks like on a normal working day:
- Process ownership from end to end of the workflow. They document and improve standard operating procedures so every recurring task has a clear owner, a checklist, and an escalation path. When a step breaks, they fix the process itself rather than patching the symptom and waiting for the same failure next week.
- Order and vendor coordination that never drops a thread. They track purchase orders, supplier commitments, delivery windows, and fulfillment status across teams. They chase confirmations before problems surface, flag slipping timelines early, and keep finance, sales, and logistics aligned on the same facts instead of three conflicting versions.
- Systems thinking across your tool stack. They understand how your CRM, ERP, project management software, and spreadsheets connect, where data gets duplicated, and where it silently goes missing. They design the flow of information between systems so handoffs stay clean and nobody has to rebuild the same record twice.
- Reporting that leadership actually trusts. They build weekly KPI reports and dashboards in Looker Studio, Power BI, or spreadsheet pivot tables. More importantly, they read the numbers, spot bottlenecks in fulfillment, support, or sales operations, and bring a recommendation to the meeting rather than just a chart.
- Automation that removes repetitive manual work. They use no code tools like Zapier, Make, and native CRM workflows to eliminate copy and paste tasks, status chasing, and manual data entry. This is often where a strong operations hire pays for themselves fastest, because hours come back to the team immediately.
- Risk mitigation built into routine work. They anticipate where a growing company will crack: a single person holding critical knowledge, an undocumented invoicing step, or a vendor with no backup. They build documentation that survives turnover and controls that catch errors before customers or auditors find them.
Why the Right Hire Shows Up on Your Bottom Line
Deep business operations mastery is not overhead. It changes how efficiently the entire company converts effort into revenue. The return shows up in four places:
- Operational debt reduction. Every undocumented workaround and tribal knowledge shortcut is debt that compounds as you grow. A senior specialist pays it down by turning fragile habits into documented, repeatable processes, which means fewer surprises, faster onboarding for new staff, and far less dependence on any single heroic employee.
- Faster cycle times across the business. When handoffs between sales, fulfillment, and finance are clean, orders move faster, invoices go out sooner, and customers wait less. Shorter cycles improve cash flow and customer experience at the same time, which is exactly the kind of compounding gain operating leaders want.
- Lower cost per transaction. Automation and smarter tooling reduce the manual hours required to process each order, ticket, or vendor request. That lets you absorb growth without adding headcount at the same rate, protecting margin while volume rises and keeping your expensive senior people focused on higher value work.
- Operational reliability leadership can count on. Accurate weekly reporting and clear escalation paths mean fewer fire drills and better decisions. When executives trust the numbers, they stop second guessing data and start acting on it, and the business becomes predictable enough to plan, forecast, and scale with confidence.
Getting Ready Before You Open the Search
Audit Your Operational Constraints First
Most mis hires happen before the first interview, because the company never defined what problem the hire must solve. Run this audit before you write a single job post.
Find the Bottleneck That Hurts Most Right Now
Start with the systemic bottleneck that costs you the most today. Is it order fulfillment slipping between teams, invoicing running late, vendor commitments living in someone's inbox, or leadership flying blind without reliable reporting? Name it precisely, because it defines the profile you need. A company drowning in manual data entry needs an automation minded specialist, while one with messy reporting needs someone fluent in dashboards and analysis. If the deeper need is turning operational data into strategic insight, consider pairing the hire with dedicated business analytics consulting so the right questions get asked first.
Decide How Much Autonomy the Role Carries
Next, decide how this person will work inside your organization. An embedded specialist sits within one team, reports to a single leader, and owns a defined set of processes, which works well when your priorities are clear and your managers have time to direct. A dedicated delivery pod is different: a small group of operations talent with shared oversight that can take on a broader transformation, such as a CRM migration or a full process overhaul. Be honest about your management bandwidth. A highly autonomous senior hire thrives with vague mandates, while a junior one will stall without daily direction.
Weigh In House Hiring Against Vetted Remote Talent
Finally, weigh your deployment model. A traditional in house hire means job postings, weeks of screening, competing offers, benefits overhead, and a long notice period before anyone starts. If that hire turns out wrong, you restart the entire cycle and lose months. Vetted dedicated remote talent changes that math. You access specialists with verified operations experience, start faster, and keep the flexibility to scale the engagement up or down as needs shift. For many growing companies, remote operations support across North American time zones delivers senior capability without the friction and fixed cost of a permanent seat.
Build a Requirement Profile, Not a Generic Job Description
Generic job descriptions attract generic candidates. Define these four non negotiable components instead:
- Core outcome and mission. State the single result this person must deliver in their first six months, such as cutting order processing delays or producing a trusted weekly KPI report. A clear mission filters out candidates who want a task list and attracts people who want ownership of a measurable result.
- Tool ecosystem. List the exact systems they will live in: HubSpot or Salesforce for CRM, NetSuite, Odoo, or SAP Business One for ERP, Asana, Monday.com, ClickUp, or Jira for project management, and Excel or Google Sheets. Familiarity shortens ramp up, but adaptability across tools matters more than any single platform.
- Decision making authority. Define what they can change on their own, what needs approval, and who they escalate to. Can they rewrite a process, switch a vendor workflow, or build an automation without sign off? Ambiguity here creates either paralysis or overreach, and both cost you time and trust with frontline teams.
- System impact. Describe which teams and processes their work will touch, from sales handoffs to fulfillment to invoicing. A specialist whose changes ripple across departments needs strong communication skills and stakeholder management, not just technical tool knowledge, because every process change affects people who did not ask for it.

Let’s Turn Your Idea into Scalable Software
Book a call with the representative to get answers to all the questions you may have.
Vetting Candidates and Getting Them Productive
A Vetting Framework That Holds Up Under Real Pressure
A polished resume tells you almost nothing about how someone performs when three urgent requests land at once. Your vetting process must test real operational judgment, not interview polish.
Where Strong Candidates Actually Come From
Traditional recruiters often screen for buzzwords. They match "Salesforce" and "process improvement" on a resume and pass along candidates who have used the tools but never owned an outcome. That is how you end up with an order taker in a role that needs an operator. Pre screened operations networks work differently: candidates have verified production experience in real business environments, with references and past results already checked. Sourcing from a curated operations talent network shrinks your shortlist to people who have already proven they can run processes, not just describe them, saving weeks of wasted interviews.
An Evaluation Pipeline Built on Real Work
Skip trivia questions and personality quizzes. Instead, give finalists a realistic process improvement or reporting exercise drawn from your own operations: a messy order workflow to redesign, or raw data to turn into a weekly KPI summary with recommendations. Ask them to walk you through a process they improved in past work, with measurable before and after results. Then test communication under pressure by changing priorities mid conversation and watching how they triage. Finally, involve a frontline team member in one interview, because operations specialists must earn trust with both leadership and the people doing the work.
The First 90 Days: A Ramp Up Plan That Pays Back Fast
Even the best hire underperforms without a structured start. Use this roadmap to reach measurable impact quickly:
- Days 1 to 30: Access, mapping, and quick wins. Grant full access to your CRM, ERP, project management tools, and shared drives on day one. The specialist maps current workflows, interviews process owners, and documents the biggest pain points. Target one visible quick win, such as automating a recurring manual report, to build credibility early.
- Days 31 to 60: Standardize and measure. The specialist writes or rewrites the core standard operating procedures, assigns clear owners, and sets up a weekly KPI report leadership reviews together. Escalation paths become explicit. By the end of this phase, you should see fewer dropped handoffs and a reliable baseline for measuring every future improvement.
- Days 61 to 90: Automate and own outcomes. With processes stable, the specialist automates repetitive steps using Zapier, Make, or native CRM workflows and takes full ownership of the mission defined in the requirement profile. Review results against the baseline, agree on the next quarter's priorities, and confirm the role is delivering measurable return.
Making the Final Decision
Interview Signals That Separate Operators From Pretenders
Red flags:
- Overcomplicating simple problems. A candidate who proposes a full ERP overhaul to fix a missed weekly report is showing poor judgment. Senior operators match the size of the solution to the size of the problem, and they reach for the simplest fix that works before recommending expensive systems.
- Tool obsession over business outcomes. If every answer centers on which software they prefer rather than what result they delivered, be careful. Tools change constantly. What matters is whether they can improve cycle time, accuracy, or cost, regardless of the platform your company happens to run.
- No honest account of past failures. Ask about a process change that went wrong. Candidates who cannot name one, or who blame everyone else, have either not owned meaningful work or lack the self awareness to learn from it. Both are serious risks in a role built on continuous improvement.
- Vague results without numbers. Statements like "I made things more efficient" without any measurable before and after signal limited ownership. Strong operations specialists remember what changed, how they measured it, and why it mattered, because tracking outcomes is a core part of the job itself.
Green flags:
- Pragmatic tradeoff analysis. They explain why they chose one approach over another, weighing speed, cost, and risk. They know when a spreadsheet is good enough and when a proper system is required, and they can defend that choice clearly to a skeptical executive or a frustrated frontline manager.
- Focus on data integrity. They care about where numbers come from and whether reports reconcile across systems. They notice duplicate records, mismatched totals, and manual overrides, because they understand that bad data quietly poisons every downstream decision, forecast, and customer commitment the business makes.
- Proactive risk identification. Without prompting, they point out single points of failure, undocumented steps, and vendor dependencies in the scenarios you give them. This instinct to spot trouble early is what separates a true operator from someone who simply reacts to whatever breaks next.
- Deep understanding of operational edge cases. They ask about partial shipments, disputed invoices, rush orders, and what happens when a key person is out. Candidates who think through exceptions, not just the happy path, build processes that hold up when real business pressure arrives.
Why Leaders Choose SoftDoes for Operations Talent
SoftDoes is a North America focused custom software, data, and AI partner serving clients across the US and Canada, with deep expertise in business operations. We deploy battle tested senior specialists with verified operations experience, backed by delivery led oversight rather than unmanaged freelancers. You get rapid deployment, the flexibility to scale your team up or down as priorities change, and a zero risk replacement guarantee if a fit is not right. If your need leans toward administrative support rather than process ownership, our team can also help you hire virtual assistants who handle scheduling, inbox management, and routine tasks, so every role matches the actual work.
The Bottom Line and Your Next Move
Operations excellence is not a support function; it is the engine that determines whether your growth turns into profit or into chaos. The right specialist turns scattered effort into a predictable, scalable business, and the wrong one quietly drains time, money, and morale. If you are ready to stop firefighting and start scaling, book a technical discovery session with SoftDoes solution architects. We will map your operational bottlenecks and match you with proven talent fast.

















































