Hire AWS Lambda Developers Who Build Serverless Apps That Scale Without Surprise Bills
Hire AWS Lambda developers from Entrans and get engineers who have run serverless in production. They tune memory and cold starts, cap concurrency before a traffic spike exhausts your database connections, and say plainly when Lambda is the wrong tool for a workload. Entrans has delivered for 200+ enterprises, and interviews can start this week.
Why Market Leaders Choose Entrans AWS Lambda Developers
Serverless looks simple until the invoice arrives, or a cold start turns up in a checkout flow. Our engineers come out of our enterprise cloud solutions practice, where those tradeoffs get settled before the build, not after.
1. Engineers Who Have Run Serverless in Production
Every AWS Lambda expert we put forward has debugged a throttled function, a job that hit the 15 minute ceiling, and a retry storm. You get someone who knows what to check first.
2. Cost Modeled Before the Build
Lambda bills on requests and GB-seconds, so memory settings and idle waits are money. We right-size functions with Lambda Power Tuning and put the numbers in front of you.
3. Cold Starts Handled Honestly
Provisioned concurrency, SnapStart, smaller packages, and ARM64 all help, and each one costs you something. We choose based on your latency target rather than habit.
4. We Will Tell You When Lambda Is Wrong
Steady high-volume traffic, long-running jobs, and heavy container images often belong on ECS or Fargate. Saying that in week one saves a rewrite in month six.
5. Enterprise Controls From Day One
Least-privilege IAM per function, KMS-encrypted environment variables, VPC access where it is genuinely needed, and CloudTrail logging your auditors will accept. Entrans is ISO certified and a NASSCOM member, with delivery across the US, UK, UAE, and India.
Hire AWS Lambda Developers From Entrans That Are Certified and Experienced
This is what our AWS Lambda engineers do week to week. Bring any of it into the interview and ask for specifics.
Event-Driven Architecture Design
Functions triggered by API Gateway, EventBridge, SQS, SNS, S3, or DynamoDB Streams, wired so one failing piece does not take the rest down with it.
Serverless APIs and Backends
REST and GraphQL backends on API Gateway or AppSync, with authorizers, request validation, throttling, and caching configured properly instead of left on defaults.
Workflow Orchestration With Step Functions
Long or multi-step jobs move into Step Functions rather than one function that times out. State machines make retries, branching, and human approval steps visible.
Reliability and Idempotency
Dead letter queues, Lambda Destinations, tuned retry policies, and idempotent handlers, so a redelivered event does not charge a customer twice.
Observability and CI/CD
Structured logs, X-Ray traces, and CloudWatch alarms on errors, throttles, and duration, plus deployment pipelines with canary releases and fast rollback. Built with our DevOps and quality engineering teams.
Performance and Cost Tuning
Memory and timeout tuning, ARM64 migration, RDS Proxy for connection storms, reserved concurrency to protect downstream systems, and a dashboard that tracks cost per million invocations.
Schedule Interviews With AWS Lambda Developers and Onboard Them Within 48 to 72 Hours
AWS Lambda Development Technology Expertise
Our serverless engineers work alongside the teams behind our cloud and data engineering practice, so application and platform choices stay aligned. Here is the stack they work in.
Lambda and Serverless Core
Languages and Runtimes
Data and Integration
Delivery, Observability, and Security
Our Customer Success Stories
Legacy EC2 to Event-Driven AWS Modernization
Industry: Water and environmental management
Technical Stack: AWS Airflow, cloud data lake, IoT telemetry APIs, forecast training and goal-seek simulation pipelines
A water and environmental management enterprise ran file-based processing and manual orchestration on aging EC2 instances. Device telemetry arrived late, backfills were unreliable, and forecasting could not scale. Our engineers rebuilt ingestion as event-driven pipelines, moved storage into a cloud data lake, and added forecast training with goal-seek simulation. Ingestion became fully automated, historical reprocessing reached 99% reliability, and forecasting ran 40% faster.
EHR Platform Migration to Amazon Aurora
Industry: Healthcare and EHR platforms
Technical Stack: Amazon Aurora, Amazon RDS, AWS Schema Conversion Tool, AWS Database Migration Service, Amazon S3, Amazon Redshift
An EHR provider ran 50TB on premise with millions of patient records, and HL7 message queues were processing too slowly. PL/SQL procedures and database triggers sat tightly coupled to the applications, and Oracle licensing limited how many hospitals they could onboard. Our team replaced Oracle with Aurora and RDS, converted the PL/SQL logic with the AWS Schema Conversion Tool, and ran continuous replication through DMS so the cutover cost no downtime. Encrypted S3 storage kept it HIPAA compliant, Redshift carried analytics, and the team moved 50TB with zero downtime while cutting development cycles by 60%.
Designed for Enterprise Speed and Control
You should not wait a quarter to fill one serverless role. Here is the path from your first call to a developer working in your repository.
1. Share Your Requirements
Tell us what the functions do, what triggers them, your latency target, and any compliance constraints. One call is usually enough to scope the role.
2. Get Curated Profiles (Within 24 to 48 Hours)
You receive shortlisted AWS Lambda engineers with their serverless project history, AWS certifications, and a note on how each one maps to your stack.
3. Evaluate and Interview
Run your own technical round. Ask how they would cut a cold start on a checkout endpoint, or stop a Lambda spike from exhausting database connections. We encourage it.
4. Onboard and Kickoff (Within 48 to 72 Hours)
Accounts, repositories, IAM roles, and sprint goals get set up together. Most engineers are committing work inside the first week.
5. Continuous Support and Scaling
Add engineers, change the skill mix, or move to a managed team as the roadmap shifts. Handover documentation and notice periods are part of the agreement.
Our Hiring Models
Dedicated AWS Lambda Developers
Hire a dedicated AWS Lambda developer to own your serverless workloads long term, from architecture through production support and quarterly cost reviews. This fits when serverless carries core product traffic.
Team Augmentation With Remote AWS Lambda Developers
Hire remote AWS Lambda developers who work your hours, join your standups, and follow your review process. Many clients pair them with our AWS developers so platform and application work move together.
Project-Based Engagement
A scoped build with fixed deliverables: a serverless API, an event-driven integration layer, or a move off an always-on EC2 monolith. Our application modernization specialists and cloud migration engineers join where the platform work is heavier.
Industries Where Our AWS Lambda Developers Deliver Impact
Our team serves global clients across banking and financial services, healthcare, manufacturing and supply chain, retail, logistics, and education. Our Lambda specialists build the event-driven backends behind claims processing, patient data exchange, order flows, and device integrations, where uptime and audit trails both matter.
Chief Executive Officer
Chief Executive Officer
Looking to Hire AWS Lambda Developers Who Can Make Serverless Predictable?
Book a Free ConsultationFrequently Asked Questions
What does an AWS Lambda developer do?
An AWS Lambda developer builds and runs serverless applications on AWS. The work covers function design, event sources such as API Gateway, EventBridge, and SQS, orchestration with Step Functions, and the IAM and networking setup around them. Most also own performance and cost, since memory settings, timeouts, and concurrency limits decide both your latency and your bill.
What skills should I look for when I hire AWS Lambda developers?
Look for someone who has operated serverless in production, not just deployed a function. Ask how they reduce a cold start, when they use reserved versus provisioned concurrency, how they keep a handler idempotent, and how they protect a database from a Lambda spike. Python or Node.js, Step Functions, and infrastructure as code with SAM, CDK, or Terraform round out a strong profile.
How much does it cost to hire AWS Lambda developers?
Rates depend on seniority, engagement model, and whether the engineer owns design, build, and production support or only part of it. Published rates for serverless talent range widely, so compare on scope rather than the hourly number alone. Budget the AWS charges separately, because Lambda bills on requests and GB-seconds, with provisioned concurrency priced on top. Entrans shares a rate card after a short requirement call.
When is AWS Lambda the wrong choice for our workload?
Lambda is a poor fit when a job runs past its 15 minute limit, when traffic is steady and heavy enough that always-on compute costs less, or when you need large container images or long-lived connections. Those workloads usually belong on ECS or Fargate, sometimes with Step Functions coordinating the longer steps. We check this during design, since moving off Lambda later means reworking handlers, permissions, and deployment.
Can we hire remote AWS Lambda developers who overlap with our team's hours?
Yes. You can hire remote AWS Lambda developers who work your business hours, join your standups, and take part in your on-call rotation. Entrans delivers from the US, UK, UAE, and India, so you can set the overlap you need, including a shifted schedule that covers your working day. Handover documentation and notice periods are written into the agreement.
