The Role
Design and build Go-based integration services, APIs, and event-driven workflows using AWS SQS, SNS, Lambda, EKS, Kubernetes, and RDS. Develop resilient, observable, well-tested services with strong API contracts, schema evolution, and enterprise integration patterns. Contribute to containerization, CI/CD, performance tuning, and non-functional validation. Use AI-assisted development responsibly, review code, mentor developers, and provide technical guidance.
Summary Generated by Built In
Key Responsibilities
- Design and build integration services and APIs in Go, applying appropriate integration and design patterns (message routing, transformation, idempotency, retry/backoff, circuit breaker, saga/compensation, outbox).
- Build event-driven flows using SQS, SNS, and Lambda — including ordering, deduplication, dead-letter handling, and replay strategy.
- Containerize services and deploy to EKS/Kubernetes; own Helm charts, resource sizing, health/readiness probes, autoscaling, and rollout strategy.
- Model and optimize data access against RDS (schema design, indexing, connection pooling, transaction boundaries, migrations).
- Translate integration requirements into interface contracts and sequence flows; document API and event schemas and drive versioning discipline.
- Build in observability from day one — structured logging, metrics, distributed tracing, alerting on integration SLAs.
- Use AI-assisted development tooling (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate delivery, and enforce review discipline so AI-generated code meets the same quality and security bar.
- Contribute to CI/CD pipelines, automated testing (unit, contract, integration), and non-functional validation (load, failover, resiliency).
- Provide code review, mentoring, and technical guidance to mid-level developers; raise design risks early to the Tech Lead.
Go (hands-on, non-negotiable)
- 3+ years writing production Go; strong grasp of goroutines, channels, context propagation, error handling, and interface-driven design.
- Experience with Go web/API frameworks and gRPC or REST service development.
- Comfortable profiling and tuning Go services (memory, concurrency, latency).
Enterprise Integration
- Working command of enterprise integration patterns (Hohpe/Woolf) and their real trade-offs: sync vs. async, orchestration vs. choreography, guaranteed delivery, exactly-once vs. at-least-once, idempotent consumers.
- Strong understanding of canonical data models for integration — designing a canonical/common schema layer, mapping source and target payloads to and from it, and knowing when a canonical model is the right call versus point-to-point or a per-domain contract.
- Basic knowladge of one or more iPaaS platforms — MuleSoft, Boomi, Workato, Azure Logic Apps, Informatica, TIBCO, webMethods, or similar — including connector development, mapping/transformation, and orchestration.
- Practical experience with design patterns (creational/structural/behavioral) and clean architecture, SOLID, and domain boundaries — able to justify choices, not just name them.
- Experience with API contracts, schema evolution, and backward compatibility.
Cloud & Platform (AWS)
- Hands-on with EKS and Kubernetes — deployments, services, ingress, config/secrets, HPA, troubleshooting live workloads.
- Understanding of containerization skills (Docker: multi-stage builds, image hardening, small runtime images).
- Knowladge about SQS, SNS, and Lambda in event-driven architectures.
- Understanding of RDS (PostgreSQL or MySQL) including performance tuning.
- Knowladge about IAM, VPC/networking basics, Secrets Manager/Parameter Store, and CloudWatch.
AI in the Development Lifecycle
- Demonstrable experience using AI coding assistants in real delivery — able to describe what they accelerated, where the tooling failed, and how they validated output.
- Understanding of prompt/context practices for codebases, plus the guardrails: security review, licensing, and hallucination checks.
Engineering Practice
- Git-based workflow, trunk/branching discipline, CI/CD (GitHub Actions, GitLab CI, Jenkins, or similar).
- Test automation habit — unit, contract, and integration testing as part of definition of done.
- Clear written and verbal communication with distributed teams and client stakeholders.
Skills Required
- 3+ years of production Go development experience
- Experience with Go web/API frameworks and gRPC or REST service development
- Experience profiling and tuning Go services for memory, concurrency, and latency
- Working knowledge of enterprise integration patterns and their trade-offs
- Strong understanding of canonical data models for integration
- Basic knowledge of at least one iPaaS platform, such as MuleSoft, Boomi, Workato, Azure Logic Apps, Informatica, TIBCO, or webMethods
- Experience with design patterns, clean architecture, SOLID principles, and domain boundaries
- Experience with API contracts, schema evolution, and backward compatibility
- Hands-on experience with EKS and Kubernetes
- Containerization experience with Docker, including multi-stage builds and image hardening
- Knowledge of SQS, SNS, and Lambda in event-driven architectures
- Understanding of RDS using PostgreSQL or MySQL, including performance tuning
- Knowledge of IAM, VPC and networking basics, Secrets Manager or Parameter Store, and CloudWatch
- Demonstrable experience using AI coding assistants in real software delivery
- Understanding of security review, licensing, hallucination checks, and AI coding guardrails
- Git-based workflow and CI/CD experience with GitHub Actions, GitLab CI, Jenkins, or similar
- Experience with unit, contract, and integration test automation
- Clear written and verbal communication with distributed teams and client stakeholders
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
