Senior Software Systems and DevOps Engineer (Remote)

We are looking for passionate DevOps and software engineers who have a deep-rooted understanding of software systems and DevOps. Experience with cloud services such as AWS S3, Lambda, EC2, API GW, DynamoDB, and IAC tools like Terraform, CDK, and CloudFormation is a plus. Our cloud business group works with top-tier silicon valley and European customers and helps them build production-grade systems using cutting-edge cloud software technology.

At Appologix, you will enjoy being part of an extremely talented, motivated team interacting with both business and development counterparts to capture key marketing requirements and translate them to products and services designed for our customers. The ideal Xgrid DevOps Engineer will have experience developing and delivering complex enterprise-grade mission-critical automated software systems for our cloud customers.

If you are passionate about working with the world’s top tech silicon valley companies and highly experienced software engineers and are excited about solving interesting and complex problems and challenges in a fast-paced environment, where you get to not only grow yourself but also help build a team and culture, Appologix has a place for you and we would love to have you onboard!

What you will do

Implement end-to-end data center and cloud solutions for our customers using knowledge and experience with cloud technologies

Design, build, deploy, and maintain the software in cloud environments

Work on cloud software systems and DevOps (AWS | GCP | Azure)

Run the operational aspects of the business, i.e. deploy, maintain, upgrade and manage incidents across cloud deployment systems

Work with highly experienced silicon valley engineers.

Required Skills

Experience with public cloud services (AWS | GCP | Azure)

3 - 6 Years of experience in any of the above cloud environment

Experience or familiarity with creating cloud-based services, e.g. event-based processing systems

Experience or higher-level knowledge of Docker and Kubernetes

Understanding of object-oriented programming, and proficiency and experience with at least one object-oriented programming language (Go, Python, C++, Java) (Python and Go preferred)

Solid understanding of workflow and process automation, solution integration, and scripting

Good knowledge of operating systems (Linux power user)

Thorough knowledge of software development best practices, including coding standards, code reviews, source control management, build process, continuous integration and continuous delivery.

Strong software debugging and problem-solving skills.

Strong skills in information gathering and requirement documentation.

Quick learner and ability to adapt to customer-driven fast-paced development environments.

Team player with outstanding collaboration and teamwork attitude.

Excellent written and verbal communication skills.

Excellent analytical and problem-solving skills.

Preferred Skills

Knowledge of IAC frameworks such as Terraform, CloudFormation, and package deployments such as k8s templates, Helm, bash scripting

Experience with monitoring and metrics frameworks like Prometheus, CloudWatch, Grafana, Kibana

Experience with Logging frameworks such as Splunk, Elasticsearch

Experience working with Kubernetes environments, logging into containers, debugging deployment issues, and familiarity with the kubectl ecosystem.

Familiarity with SQL (Postgres, MySQL, RDS, etc.) and NoSQL (Mongo, Elasticsearch, Cassandra, DynamoDB, etc.) technologies

Any cloud (AWS |GCP| Azure) certifications

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