Evaluate emerging technologies and recommend adoption where appropriate to maintain a competitive edge.
Define and evolve the overarching architecture for microservices, ensuring alignment with business and technical objectives.
Oversee capacity planning and performance tuning efforts to handle high throughput and large data volumes.
Identify technical risks and propose mitigation strategies, including spikes, proofs of concept, or architectural adjustments.
Facilitate communication between engineering teams, executive leadership, and non-technical stakeholders to ensure alignment.
Collaborate with senior executives and product owners to develop a multi-year technology roadmap, focusing on scalability, resilience, and high availability.
Advocate for continuous integration and delivery (CI/CD) best practices, including automated build pipelines, containerization (Docker), and orchestration (Kubernetes).
Regularly update leadership on project risks, constraints, and timelines.
Ensure compliance with data governance and regulatory requirements (GDPR, HIPAA, etc.) as needed.
Mentor mid-level and junior engineers, fostering a learning culture through design reviews, code reviews, and knowledge-sharing sessions.
Ensure each service adheres to established coding standards, security practices, and API versioning guidelines.
Work with DevOps teams to optimize deployment processes, reduce downtime, and ensure rapid rollbacks when necessary.
Determine data storage solutions (SQL, NoSQL) and data partitioning/sharding strategies aligned with service boundaries.
Work closely with business stakeholders, transforming high-level requirements into scalable technical solutions.
Champion the implementation of centralized logging, distributed tracing, and real-time monitoring tools (ELK, Prometheus, Grafana, Jaeger).
Partner with project managers, product owners, and QA leads to ensure clear priorities and high-quality deliverables.
Lead teams in designing, developing, and deploying microservices using best practices around RESTful APIs, event-driven architectures, and asynchronous messaging.
Provide technical oversight and guidance on domain-driven design (DDD), service boundaries, and data management strategies.
Drive incident response and root cause analysis workflows to foster a culture of continuous improvement.
Implement fault-tolerant patterns (e.g., circuit breakers, retries, load balancing) and strategies to mitigate single points of failure.
Requirements
aws
docker
kubernetes
microservices
sql
leadership
Solid background in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra) with an emphasis on data modeling and scalability.
Deep experience with cloud platforms (AWS, Azure, GCP), containerization (Docker), orchestration (Kubernetes), and modern CI/CD pipelines.
Outstanding communication and presentation skills, able to convey complex technical concepts to varied audiences.
Proficiency in microservices architecture, domain-driven design (DDD), and event-driven systems.
Certifications in AWS.
Expertise in observability (monitoring, logging, tracing) and performance tuning for large-scale, high-throughput applications.
Exceptional problem-solving and analytical skills, with the ability to quickly make informed decisions.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent real-world experience).
Proven leadership and mentorship abilities, adept at guiding teams through change and fostering innovation.
Strong understanding of messaging systems (Kafka, RabbitMQ) and distributed transactions (Saga patterns, eventual consistency).