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Senior Apollo Server Engineers
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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 Apollo Server Developers
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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.

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- Quality assurance throughout development.
- Transparent communication and regular progress updates.
- One accountable partner responsible for successful delivery.


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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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Frequently Asked Questions
Everything you need to know about working with SoftDoes. Can’t find an answer?
How long does it typically take to hire developers with proven Apollo Server expertise?
Hiring an Apollo Server developer takes about 14 days through pre vetted networks, with strong candidates often surfaced within the first week. Freelance Apollo Server developers can be hired in as little as 72 hours when flexibility on engagement model and compensation is available. However, the full process including technical evaluation, offer discussions, and onboarding can stretch to four to eight weeks for very senior or specialized profiles, especially in regulated industries or when sourcing locally. Using a partner like SoftDoes compresses this timeline significantly because candidates are already vetted for Apollo Server production experience before they reach your interview process.
What does it cost to hire a developer or team with deep Apollo Server expertise?
Individual freelance or contract rates for experienced Apollo Server developers typically fall between USD 55 and 130 per hour, depending on seniority, federation complexity, and security requirements. Full time remote senior engineers may cost USD 7,500 to 15,000 per month through vendor networks. In house total cost for a senior US based software developer, including salary, benefits, taxes, and infrastructure, often reaches USD 210,000 to 250,000 per year. For a dedicated pod of three to five senior and mid level engineers, rates scale linearly but with economies in overhead and coordination when using a delivery partner such as SoftDoes. The right engagement model depends on your project duration, complexity, and how quickly you need production impact.
What engagement models are available for Apollo Server projects, such as a dedicated hire, a pod, or a contract?
The main models are hiring a single specialist embedded into your existing team, engaging a dedicated pod or team that operates as a managed remote unit, or hiring contractors and freelancers with defined deliverables. A partner like SoftDoes supports all three, offering replacement guarantees, scaling flexibility, and governance. The best model depends on project duration, complexity, compliance requirements, and how quickly you need to scale applications. For short term or well scoped work, a freelance Apollo developer or individual specialist is often sufficient. For ongoing product development or federated supergraph buildouts requiring multiple teams, a full pod with a senior developer lead delivers more predictable outcomes.
How do you ensure time zone alignment with a team skilled in Apollo Server?
Choose developers or teams located in time zones that overlap meaningfully with your working hours. SoftDoes focuses on North America and nearshore locations, ensuring real time collaboration with US and Canadian clients. Beyond geography, structure overlap windows for synchronous work, establish async documentation and communication norms, and hold regular syncs. This approach keeps project management efficient and ensures front end teams, product managers, and backend engineers stay coordinated without constant scheduling friction.
How does SoftDoes technically vet developers for Apollo Server expertise?
SoftDoes evaluates every candidate through a multi stage process: reviewing past Apollo Server projects including schema design, federation and gateway work, and production incident handling; conducting live system design interviews focused on GraphQL and Apollo challenges such as query planning, schema evolution, and resolver performance; reviewing code samples or open source contributions for clean code and sound data structures; verifying production experience with monitoring, security, and performance at scale; and checking references for collaboration, communication, and reliability. This process ensures that only top Apollo Server developers with real technical skills and strong ability to operate in production environments are presented to clients.
What support is available for scaling the team after launch as our Apollo Server needs grow?
SoftDoes can scale your team by adding more engineers, forming full pods, or introducing technical leadership roles such as a tech lead or architecture oversight. Ongoing support includes monitoring CI/CD pipeline readiness, maintaining code review standards, evolving schema governance with schema checks, and conducting performance audits. As your GraphQL API grows in complexity and traffic, SoftDoes adapts the team composition to match, whether that means adding a full stack engineer with Apollo Client and React Native experience, bringing in a senior developer for federation architecture, or expanding coverage for mobile applications and web applications. The goal is continuous, structured growth without the friction of restarting the hiring process from scratch each time.
How to Hire Developers Skilled in Apollo Server
Hiring the wrong Apollo Server developer costs more than a bad sprint. It means broken schemas in production, queries that crawl under load, and months lost to rework that a qualified engineer would have prevented on day one. This guide walks you through everything engineering leaders need to know to find Apollo Server developers who can actually deliver: what real expertise looks like, how to define your requirements, how to vet and onboard talent, and how to spot the red flags before they become expensive problems.
What Apollo Server Engineers Actually Do and Why It Matters to Your Business
The Real Work Behind Production Apollo Server Systems
Apollo Server is a Node.js GraphQL server library that powers production APIs at over 6500 companies. In a federated setup, it enables a supergraph architecture where a router coordinates multiple subgraphs, each owned by different product teams. Apollo Server developers streamline backend API development by designing schemas, writing resolvers, and managing the full lifecycle of a GraphQL API from prototype to production.
Experienced Apollo Server developers handle the following core tasks daily:
- Schema design and evolution: Defining types, interfaces, union types, and directives (such as auth and shareable). Managing schema versioning and backward compatibility so front end teams and mobile apps never break on deploy.
- Resolver implementation across data sources: Building resolvers that fetch from databases like PostgreSQL and MongoDB, multiple REST services, internal APIs, and message queues, while abstracting business logic and propagating errors cleanly.
- Performance optimization: Profiling query planning in federated supergraph architectures, solving the N+1 query problem using DataLoader, applying caching strategies, and implementing automatic persisted queries to reduce payload overhead. Apollo Server reduces over fetching and under fetching of data, which directly cuts latency and infrastructure cost.
- Federation and gateway management: Operating Apollo Federation, where multiple subgraphs are integrated into a unified API. This includes managing directives like @requires, @shareable, and @provides that shape query plan complexity and runtime performance.
- Security and access control: Implementing field level authorization, input validation, rate limiting, persisted queries, and query complexity analysis. Validators are important for ensuring API security and preventing data leaks.
- Observability and incident response: Setting up monitoring for field resolution time, error rates, and query cost using tools like Apollo Studio. Production experience in GraphQL involves monitoring performance and handling incidents under real traffic.
Why Deep Apollo Server Expertise Is a Strategic Priority
Architectural decisions impact API scalability and performance optimization. Hiring senior Apollo Server developers with genuine depth delivers concrete business outcomes:
- System stability at scale: Correct query planning and federation design prevent latency spikes and eliminate bottlenecks under high throughput. Apollo Server's architecture speeds up development processes while keeping systems reliable.
- Faster delivery cycles: Apollo Server enables faster feature delivery with fewer breaking changes. Teams can deploy schema changes and new resolvers without risk of breaking clients or introducing regressions.
- Lower technical debt: A well structured schema reduces API maintenance overhead. Clean schemas, strict directive patterns, and well organized resolvers prevent the kind of tangled monolith that slows every future sprint.
- Scalable, evolvable architecture: Federation enables multiple teams to move independently. Schema registry, versioning, and tooling let your API grow with the business rather than becoming a constraint.
How to Prepare Before You Start Sourcing
Defining Your Needs Before Sourcing Apollo Server Talent
Before you post a job description or contact a talent network, clarify what you actually need. Skipping this step is the main reason companies waste weeks interviewing the wrong candidates.
Project Scope and Architecture Requirements
Are you building a new GraphQL API from scratch? Wrapping existing REST APIs in a GraphQL facade? Migrating to a federated supergraph? Scaling an existing Apollo Server instance to handle higher throughput? Each scenario requires different professional experience. Define your expected traffic volume, latency budgets, data sources, and whether you need real time features like GraphQL subscriptions over WebSockets. Cloud versus on premises constraints, regulatory requirements, and compliance needs all shape the profile you should source.
Required Seniority and Complementary Stack
A senior software engineer skilled in Apollo Server should understand federation, schema evolution, optimizing performance, monitoring, and architecture decisions. Mid level developers should manage resolvers competently, build schemas, and write tests. Junior developers can contribute to resolver work and testing but should not be expected to own schema architecture or federation design. Apollo Server developers need proficiency in JavaScript and TypeScript, and effective backend architecture requires proficiency in Node.js. Clarify which databases (PostgreSQL, MongoDB), which programming languages, which infrastructure (Kubernetes, serverless, AWS, GCP), and which version control systems and CI tools (such as GitHub Actions) your stack relies on.
In House vs. Dedicated Remote Pods
In house hiring gives direct control and proximity. Dedicated remote pods offer speed, cost efficiency, and flexibility. Consider time zone overlap, communication overhead, and culture alignment. For regulated industries, remote work may introduce compliance constraints. Demand for Apollo developers is increasing as GraphQL gains popularity, and more than 50% of enterprises are adopting GraphQL, so the talent market is competitive regardless of the model you choose.
Writing a Requirement Profile That Attracts the Right Apollo Server Engineers
A vague job description attracts vague candidates. Your technical scope must cover four elements:
- Technical mission: State exactly what the engineer will build. For example: "Design a federated GraphQL supergraph with four subgraphs handling payments, user profiles, content, and inventory. Target query latency under 100 ms." Or: "Migrate legacy REST APIs to a GraphQL API facade serving web applications and mobile applications."
- Ecosystem and tooling context: Specify Node.js versions, TypeScript expectations, use of Apollo Studio and schema registry, CI/CD pipeline tools, cloud provider, observability stack, caching strategies, and expectations around persisted queries and authorization directives. Candidates should demonstrate experience with Apollo's specific tooling.
- Team dynamics: State whether this person joins an existing team of backend engineers, works cross functionally with front end teams and product managers, mentors junior developers, or holds on call responsibilities. Strong collaboration with frontend teams is vital for successful API design.
- System impact: Articulate how this role affects business outcomes. Improving API performance, enabling new features faster, reducing errors, scaling traffic, meeting compliance, improving customer satisfaction. This is what separates a compelling posting from a generic one.

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Sourcing, Evaluating, and Ramping Up Apollo Server Talent
How to Vet Apollo Server Developers Beyond Credentials
Sourcing Strategy
Standard outbound recruiting on general platforms is slow and produces a high ratio of underqualified candidates. Vetted talent platforms can streamline the hiring of qualified Apollo Server developers by surfacing profiles with prior Apollo Server work. You can also use platforms like Upwork and Freelancer to find Apollo developers, or specialized services like Lemon.io, which provides a curated shortlist of developers in 48 hours. Vetted Apollo Server developers are available for hire across 50 countries through various global network providers.
Pre vetted talent networks already familiar with GraphQL and Apollo typically bring profiles faster, with verified server implementations, and less risk than cold sourcing. If you need to hire API integration developers who also bring Apollo Server depth, a network with that specialization saves significant time.
Vetting Beyond the Resume
Apollo Server developers typically have 4+ years of experience, but tenure alone means nothing without demonstrated technical expertise. Here is what to evaluate:
- Technical portfolio: Review past projects or open source contributions involving schema design, federation, and performance work. Look for evidence of clean code, thoughtful data structures, and real world complexity.
- Live system design exercise: Present a realistic scenario. Ask the candidate to design a federated GraphQL API for a modular application. Have them sketch the schema, explain how resolvers communicate, describe query planning, and outline how they would handle authentication and rate limiting. Effective interviewing for Apollo developers should include practical exercises in schema design.
- Problem solving under constraints: Ask about past decisions involving latency budgets, backward compatibility, or schema evolution. What tradeoffs did they make between performance and flexibility, or between a monolith and federation? Strong problem solving skills are crucial for Apollo Server developers.
- Practical debugging task: Walk through a performance bottleneck like an N+1 problem, a query cost limit violation, or the steps to add a new subgraph with deprecation handling. Key skills for Apollo Server developers include GraphQL design and performance optimization.
- Culture and communication fit: Effective communication is a top soft skill for Apollo developers. In regulated industries, ask about past handling of compliance, security audits, and remote work discipline.
Structured Onboarding: The 30/60/90 Day Ramp Plan
Hiring is only half the problem. The other half is getting your new Apollo Server developer or pod to full productivity without friction. Testing practices should include unit and integration tests for GraphQL schemas from the start.
Days 1 to 30 ("Learn and Contribute"): Set up tools and access: dev environments, repositories, staging, schema registry, and gateway. Assign starter tasks such as fixing small resolvers, adding schema tests, or resolving minor bugs. By the end of day 30, expect merged pull requests, a working understanding of the codebase, and familiarity with team workflows.
Days 31 to 60 ("Deepen and Build Confidence"): The developer takes ownership of features or subgraphs. They contribute to code review, understand the performance and monitoring systems, and shadow on call rotations. They begin participating in schema changes, federation updates, and client integration discussions with front end development teams.
Days 61 to 90 ("Own and Lead"): The developer independently deploys features, proposes schema architecture improvements, mentors others, leads design discussions, and exercises judgment over tradeoffs. Full participation in incident reviews and system design sessions. For remote or external pods, maintain frequent syncs and high clarity on deliverables throughout all three phases.
Evaluating Candidates and Choosing the Right Partner
Signals That Reveal True Apollo Server Mastery (and Those That Warn You Away)
Red flags to watch for:
- Vague or confused answers on query planning, federation, or how schema changes impact subgraphs. If a candidate cannot explain the N+1 problem or the performance implications of directives like @shareable and @requires, they lack the depth you need.
- No history of schema versioning or backward compatibility practices. Developers who routinely ship breaking changes without mitigation will cost you client trust and engineering time.
- Weak observability understanding. If they cannot describe how to monitor field latency, error rates, query cost, or detect schema composition errors, they have not operated Apollo Server in production at any meaningful scale.
- Superficial security knowledge. Authorization only at the REST layer, no field level control, no pattern for persisted queries, and no approach to depth or complexity limits signal a developer who has not handled real world API integration services at scale.
Green flags that indicate senior level mastery:
- Hands on experience building federated GraphQL supergraphs. Understanding of router versus gateway behaviors. Capacity to optimize query planning and avoid mesh explosion in large federated systems.
- Evidence of designing clear, maintainable schemas: thoughtful types, directives, interfaces, abstract business logic, and avoidance of naively mirroring every downstream API. Apollo developers should understand GraphQL schema design principles deeply.
- Demonstrable track record of performance tuning Apollo Server in production: caching strategies, monitoring, and resolving latency bottlenecks. Apollo Server allows for real time features like subscriptions over WebSockets, and top Apollo Server developers know how to implement them without degrading baseline performance.
- Strong security posture: schema level auth, safe resolvers, input validation, avoiding injection or overexposure, and experience with compliance frameworks where relevant.
Why Partnering with SoftDoes Gives You an Edge
Finding the right developer is hard. Companies seek Apollo developers to improve API performance and user experience, but the hiring process on most platforms is slow, expensive, and unreliable. SoftDoes eliminates those pain points:
- Pre vetted senior talent: SoftDoes maintains access to qualified Apollo Server developers experienced in federation, schema maturity, performance tuning, and security compliance. Every engineer has been evaluated on real world production capabilities, not just resume keywords.
- Team delivery model, not isolated freelancers: Instead of managing a solo freelance Apollo developer with no backup, SoftDoes provides coordinated pods that include senior developers and, when needed, technical leadership. This is how delivering reliable, high quality code at velocity actually works.
- Replacement and scaling guarantees: If a developer does not meet standards or leaves, SoftDoes covers the gap without lost time. As your Apollo Server needs grow, the team scales with you.
- North America focused, timezone aligned: SoftDoes serves clients across the US and Canada with developers in overlapping time zones, reducing communication lag and enabling real time collaboration with your existing team.
- Flexible engagement models: Hire a single Apollo Server specialist, build a dedicated remote pod, or engage a full team with architecture oversight. Each model adapts to your project's duration, complexity, and compliance requirements.
Ready to Hire Apollo Server Engineers?
Stop screening dozens of freelance Apollo Server developers who cannot explain query planning under pressure. If you need vetted Apollo Server developers who can ship production ready GraphQL APIs from week one, SoftDoes can match you with the right talent in days, not months.
Schedule a discovery call with SoftDoes to define your requirements, review curated candidate profiles, and start building with proven engineers. No long term lock in. No risk trial period. Just qualified Apollo Server developers ready to deliver.

















































