Senior Engineer, Devops (AWS Automation)
Bold Technology SystemsRole Overview
Bold Technology Systems is hiring a Senior Engineer, Devops (AWS Automation). This is a full-time hybrid role, based in IN. Part of Bold Technology Systems's Devops hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
You will be responsible for owning production ML environments and MLOps infrastructure within infrastructure and data science teams. This involves handling day-to-day support, ad-hoc requests, and cross-team projects. You will need to architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.
Key Responsibilities:
- Architect and productionize microservices with advanced DevOps pipelines, collaborating with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
- Design comprehensive observability frameworks to minimize MTTR (Mean Time To Recovery) and ensure 24x7 platform reliability.
- Engineer secure, automated CI/CD workflows with governance and compliance controls.
- Lead 24x7 on-call engineering, CDN & security hardening, and cost optimization strategies in IAAS & PAAS in Cloud.
- Manage infrastructure operations, production deployments, and hybrid cloud environments.
- Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations.
Required Skills
- 4.5+ years (Sr. Engineer) / 7+ years (Module Lead) of AWS/DevOps production experience.
- Proficiency in scripting languages such as Python, Bash, Groovy, and Java (CI/CD, EKS, FastAPI/Spring Boot).
- Experience with CI/CD tools like Jenkins (declarative pipelines, Groovy), Spinnaker, CodePipeline/CodeBuild, Gradle, Maven, Artifactory, GitHub Actions.
- Knowledge of Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
- Familiarity with container technologies such as EKS + Istio/Gloo/Karpenter, ECS, Docker, Buildah.
- Expertise in AWS services like VPC, IAM, GuardDuty, AWS Config, S3, DynamoDB, Lambda, SageMaker, EMR, and cost optimization.
- Proficient in observability tools like Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor.
- Experience with GitHub actions automation, branch/PR governance, and DNS management (NS1, Cloudflare, GoDaddy). You will be responsible for owning production ML environments and MLOps infrastructure within infrastructure and data science teams. This involves handling day-to-day support, ad-hoc requests, and cross-team projects. You will need to architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.
Key Responsibilities:
- Architect and productionize microservices with advanced DevOps pipelines, collaborating with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
- Design comprehensive observability frameworks to minimize MTTR (Mean Time To Recovery) and ensure 24x7 platform reliability.
- Engineer secure, automated CI/CD workflows with governance and compliance controls.
- Lead 24x7 on-call engineering, CDN & security hardening, and cost optimization strategies in IAAS & PAAS in Cloud.
- Manage infrastructure operations, production deployments, and hybrid cloud environments.
- Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations.
Required Skills
- 4.5+ years (Sr. Engineer) / 7+ years (Module Lead) of AWS/DevOps production experience.
- Proficiency in scripting languages such as Python, Bash, Groovy, and Java (CI/CD, EKS, FastAPI/Spring Boot).
- Experience with CI/CD tools like Jenkins (declarative pipelines, Groovy), Spinnaker, CodePipeline/CodeBuild, Gradle, Maven, Artifactory, GitHub Actions.
- Knowledge of Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
- Familiarity with container technologies such as EKS + Istio/Gloo/Karpenter, ECS, Docker, Buildah.
- Expertise in AWS services like VPC, IAM, GuardDuty, AWS Config, S3, DynamoDB, Lambda, SageMaker, EMR, and cost optimization.
- Proficient in observability tools like Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor.
- Experience with GitHub actions automation, branch/PR governance, and DNS management (NS1, Cloudflare, GoDaddy).
Frequently Asked Questions
How do I apply for the Senior Engineer, Devops (AWS Automation) position at Bold Technology Systems?
Use the Apply button above to submit your application directly to Bold Technology Systems. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior Engineer, Devops (AWS Automation) role at Bold Technology Systems remote or in-office?
This is a hybrid role based in IN. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a Senior Engineer, Devops (AWS Automation) at Bold Technology Systems earn?
Bold Technology Systems has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Engineer, Devops (AWS Automation) role at Bold Technology Systems posted?
This role was posted on April 7, 2026 (75 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Engineer, Devops (AWS Automation) role at Bold Technology Systems require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Bold Technology Systems lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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