Freelance and remote Devops developers jobs
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On Twine
Apply directlyWe are seeking a Senior DevOps Engineer to design, deploy, and maintain secure, scalable, highly available AWS infrastructure for mission-critical systems operating 24/7. The role will focus on infrastructure automation, containerized workloads, CI/CD, streaming and data platforms, observability, security, cost optimization, and operational reliability. The successful candidate will own infrastructure projects end to end, from architecture and deployment through documentation, support, and continuous improvement. Key responsibilities include: Design and manage AWS infrastructure across multiple accounts and environments. Operate ECS/Fargate workloads with load balancing, autoscaling, and high-availability architectures. Develop reusable Terraform modules and maintain Jenkins/Groovy CI/CD pipelines. Operate and optimize Kafka, data platforms, and distributed systems. Implement monitoring, logging, alerting, incident response, and proactive performance improvements. Optimize AWS costs through right-sizing, waste reduction, and cost-conscious architecture. Automate operational processes using Python, Bash, and AWS Lambda. Strengthen infrastructure security, vulnerability management, patching, credential protection, and CI/CD security controls. Manage infrastructure changes through reviewed pull requests using a single main branch. Create technical documentation and runbooks for first-level support teams. Use performance, operational, and cost data to guide technical decisions and advise leadership. Use AI-powered tools to improve productivity while maintaining code quality and review standards. Requirements 5+ years of experience in DevOps, SRE, or Platform Engineering within 24/7 production environments. Advanced AWS experience, including ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail. Advanced Terraform skills, including reusable versioned modules, S3 remote state, provider and module version pinning, and multi-environment deployments. Strong Docker experience, including Dockerfiles, base images, ECR image management, and ECS task definitions. Experience with Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and shift-left security practices. Production experience with Kafka or AWS MSK, Aerospike, and multi-AZ architectures. Experience with EMR, EMR Serverless, Flink, Airflow, Athena, and S3 Tables. Knowledge of monitoring and observability tools such as Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS. Strong Python skills, including boto3, as well as Bash scripting and AWS Lambda experience. Knowledge of vulnerability management, system patching, credential protection, API key security, and least-privilege access. Experience with Git, pull requests, Jira, Confluence, and AI-assisted development tools. Strong problem-solving, independent working, communication, and data-driven decision-making skills. Nice to Have Experience in AdTech or real-time bidding (RTB) environments. Experience with AWS CloudFormation. Java development experience. Read more
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Apply on the company's site2026-10-25
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Apply on the company's site2026-10-24
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Apply on the company's site2026-10-23
On Twine
Apply directlyWe are seeking a Senior GenAI DevOps Engineer / AI Engineer to design, build, deploy, and support production AI agents on AWS. The role combines AI agent development (approximately 60%) with DevOps and CI/CD engineering (approximately 40%). Design, develop, and implement AI agents using the Claude Agent SDK, formerly Claude Code SDK. Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration. Deploy and manage AI agents using Amazon Bedrock AgentCore Runtime. Develop and maintain automated GitHub Actions CI/CD pipelines for agent builds, testing, and deployments. Configure AWS IAM, Amazon ECR, Docker/container packaging, and cloud security controls. Monitor, troubleshoot, and optimise the performance of production AI agents. Implement secure authentication, logging, monitoring, observability, and operational processes. Support production deployments and resolve issues across the AI agent and AWS environments. Requirements 10–15+ years of overall professional experience. 6–8 years of experience building AI agents and deploying them into production on AWS. Hands-on experience developing AI agents with the Claude Agent SDK; experience must extend beyond Claude prompting. Practical experience deploying and configuring agents on Amazon Bedrock AgentCore Runtime. Strong experience independently building CI/CD pipelines with GitHub Actions. Strong programming skills in Python or TypeScript, including API integration. Experience with AWS Bedrock and broader AWS services and architecture. Experience with MCP integrations, tool calling, and building agents that execute external tools. Experience with Docker, Amazon ECR, and AWS IAM for packaging, deployment, and permissions management. Knowledge of secure authentication, logging, monitoring, observability, and production support. Experience with Terraform or AWS CDK for infrastructure as code is desirable. Location and Work Arrangement This is a remote or hybrid role open to candidates located in Western U.S. time zones to support required time zone coverage. The successful candidate must be comfortable travelling to client sites for workshops and meetings. Read more
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Apply on the company's site2026-10-22
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Apply on the company's site2026-10-21
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Apply on the company's site2026-10-20
On Twine
Apply directlyAgileEngine is seeking a DevOps Engineer to design, build, and operate cloud infrastructure, CI/CD pipelines, and observability platforms supporting Data and AI teams in a PCI-compliant environment. The role involves developing the DevOps and observability roadmap, building reusable infrastructure-as-code modules, and managing cloud environments across AWS, Azure, or GCP. You will own CI/CD processes, including automated testing, security scanning, deployment strategies, and rollback procedures. You will operate Kubernetes clusters and containerized workloads, manage autoscaling, ingress, secrets, and policies, and develop observability solutions covering metrics, logs, traces, dashboards, and SLO-based alerting. Responsibilities also include implementing cloud security and compliance controls, leading incident response and on-call activities, maintaining runbooks, conducting blameless post-mortems, and improving reliability and operational efficiency. You will collaborate with developers, AI engineers, QA specialists, DBAs, and product teams to improve developer experience, create internal platform tooling, establish engineering standards, and support self-service capabilities across India and U.S. teams. Requirements Required Qualifications At least 4 years of professional experience in DevOps, SRE, or platform engineering, operating production services. At least 3 years of hands-on experience building CI/CD pipelines with tools such as GitHub Actions, Jenkins, GitLab CI, or CircleCI. Experience managing infrastructure as code using Terraform, Pulumi, or CloudFormation. Working knowledge of Kubernetes, including EKS, AKS, or GKE, and container tools such as Docker, Helm, ArgoCD, or Flux. Strong scripting skills in Python, Bash, or Go, along with solid SQL knowledge. Strong experience with at least one major cloud platform: AWS, Azure, or GCP. Hands-on experience with observability tools such as New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog. Understanding of cloud security and compliance practices, particularly within PCI-compliant or regulated environments. Ability to work independently and collaboratively while managing multiple projects, time zones, and on-call rotations. Strong written and verbal communication skills, with the ability to work with technical and non-technical stakeholders. Upper-intermediate English proficiency. Preferred Qualifications Experience operating Dataiku DSS, Snowflake, or other large-scale data and analytics platforms in production. Experience with service meshes, API gateways, and zero-trust networking. Knowledge of policy-as-code tools such as OPA, Rego, Checkov, or tfsec. Experience with software supply-chain security, including SBOM and Sigstore. Experience with FinOps and cloud cost optimization. Experience supporting ML or LLM workloads, including GPU scheduling, model serving, vector databases, LangSmith, or Langfuse. Database administration or reliability experience with PostgreSQL, MySQL, or Snowflake. Relevant certifications such as AWS, Azure, or GCP Professional, CKA, CKAD, or HashiCorp Terraform certification. Experience in loyalty, martech, adtech, or another data-rich B2B industry. About AgileEngine AgileEngine is an Inc. 5000 company that develops award-winning software for Fortune 500 brands and innovative startups across more than 17 industries. The company is recognized for its expertise in application development and AI/ML and has received multiple Best Place to Work awards. Benefits and Work Environment Professional development through mentorship, TechTalks, and personalized growth plans. Competitive USD-based compensation. Education, fitness, and team activity budgets. Opportunities to work on modern projects for Fortune 500 and leading product companies. Flexible working hours with remote and office options. Read more
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Apply on the company's site2026-10-19
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Apply on the company's site2026-10-18
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Apply on the company's site2026-10-17
On Twine
Apply directlyDTLC is hiring a hands-on DevOps Engineer on behalf of i8is, supporting Bank of America. The role will join the EIT DevOps team and support multiple applications, CI/CD pipelines, and OpenShift workloads in a production environment. The engineer will troubleshoot and remediate CI/CD and OpenShift failures, onboard applications and services, standardize deployment patterns, automate repetitive tasks, manage vulnerabilities, and improve platform performance and reliability. The role may occasionally require weekend deployment or production support. Configure, deploy, and support workloads on OpenShift and other container platforms. Support and improve CI/CD pipelines using Bitbucket, Jenkins, Ansible, XLR, and OpenShift. Onboard new applications and services to CI/CD and container platforms. Develop automation to reduce manual intervention and improve operational efficiency. Troubleshoot production issues quickly in high-pressure situations. Implement vulnerability remediation, monitoring, performance improvements, and reliability enhancements. Collaborate with application and development teams in a fast-paced environment. Requirements At least 4 years of relevant DevOps, platform engineering, or infrastructure automation experience. Strong hands-on experience configuring, deploying, and supporting Kubernetes or Red Hat OpenShift workloads in production. Expert-level experience with Bitbucket, Jenkins, SonarQube, Artifactory, Ansible, Ansible Tower, and JIRA. Experience integrating applications with CI/CD platforms and supporting continuous integration and delivery practices. Experience with release and build engineering, A/B deployments, and testing. Strong Linux administration skills. Programming or scripting experience with Python, Groovy, Shell, or similar languages. Strong experience with infrastructure automation using Ansible or Python. Experience engineering and supporting scalable, secure, reliable distributed enterprise platforms. Knowledge of the software development life cycle and application development technologies. Experience using performance monitoring and diagnostic tools such as Splunk or Dynatrace. Ability to identify vulnerabilities and opportunities to improve system reliability and performance. Strong analytical, troubleshooting, communication, documentation, and problem-solving skills. Ability to manage multiple concurrent priorities and support development teams during critical situations. Ability to follow operational controls, risk management, change control, incident management, and problem management processes. Preferred Qualifications Experience designing, analyzing, and troubleshooting large-scale distributed systems. Red Hat OpenShift or Kubernetes certifications. Experience with cloud-native technologies on Azure, AWS, or GCP. Strong interpersonal, presentation, and collaborative communication skills. Additional Information Location: Charlotte, NC Work arrangement: Hybrid, with 3 days onsite and 2 days remote Employment type: Contract, 12+ months Engagement: W2 only Work authorization: US Citizens and Green Card holders; no visa sponsorship available Candidate requirements: Candidates must be local to Charlotte and have an established LinkedIn profile Pay range: $60–$65 per hour, potentially negotiable based on experience, education, location, and other factors Interview process: Two virtual interview rounds; an onsite interview may also be requested Read more
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Apply on the company's site2026-10-16
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Apply on the company's site2026-10-15
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Apply on the company's site2026-10-14
On Twine
Apply directlyManage and evolve cloud-native infrastructure across AWS and/or Azure, with a focus on scalable, secure, resilient, and cost-efficient production environments. Partner with engineering, security, and platform teams to improve deployment reliability and operational maturity. Build infrastructure as code using Terraform (preferred), CloudFormation, or Bicep. Develop and maintain CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or Azure Pipelines; containerize services with Docker; and operate Kubernetes workloads on EKS or AKS. Implement observability with tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk. Automate provisioning and deployments with Python, Bash, or Ansible; troubleshoot production incidents; and apply IAM, networking, secrets-management, DevSecOps, and FinOps best practices. Strong hands-on AWS and/or Azure experience is required, including cloud networking, load balancing, DNS, and managed services. Experience with microservices, Kafka/SQS/SNS, multi-region/high-availability architecture, and cloud security or platform certifications is beneficial. Read more
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Apply on the company's site2026-10-13
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Apply on the company's site2026-10-12
On Twine
Apply directlyWe are seeking a Senior DevOps Engineer to own and improve the AWS platform supporting our .NET and React products. The role covers infrastructure as code, deployments, security, observability, reliability, governance and cost management across development, QA, staging and production environments. You will work closely with frontend, backend, QA and infrastructure teams to establish scalable, secure and reliable ways of building, deploying and operating applications. You will also mentor engineers, improve self-service capabilities and lead platform standards and practices. Key responsibilities include: Design and maintain AWS environments across multiple accounts, including VPCs, subnets, NAT, Transit Gateway, Route 53 and related networking components. Operate containerised .NET workloads on ECS using Fargate and EC2, with ALB and API Gateway. Support serverless services including Lambda, SQS, SNS, EventBridge, Step Functions and DynamoDB. Manage Aurora MySQL, including backups, parameter groups, read replicas, failover and Global Database where required. Contribute to multi-region and active-active architectures, including replication, routing and failover testing. Define infrastructure using Terraform or AWS CDK, including reusable modules, secure state management and infrastructure code reviews. Build and maintain CI/CD pipelines for .NET APIs, React applications and Lambda functions using GitHub Actions, Azure DevOps or AWS CodePipeline. Implement blue/green and canary deployments, automated rollbacks, database migration processes and quality gates such as testing and security scanning. Establish logging, monitoring, tracing and alerting using CloudWatch, X-Ray and OpenTelemetry. Define service-level objectives, lead incident response and facilitate blameless post-mortems. Own backup, disaster recovery and RTO/RPO testing. Manage AWS security controls, including IAM, Organizations, SCPs, SSO/Identity Center, Secrets Manager, Parameter Store, KMS, WAF, Shield, GuardDuty, Security Hub and AWS Config. Support Cognito authentication configuration and environment hardening. Monitor and optimise AWS costs through tagging, rightsizing, Savings Plans, budgets and anomaly alerts. Report cost, reliability and platform performance metrics to engineering management. Mentor developers and junior DevOps engineers, and create clear runbooks and platform documentation. Partner with engineering teams to enable self-service environments and deployments. Requirements At least five years of experience in DevOps, SRE or cloud infrastructure roles, including three or more years managing production workloads on AWS. Extensive hands-on experience with ECS, ALB, API Gateway, Lambda, SQS, DynamoDB, RDS/Aurora MySQL, Cognito, CloudWatch, IAM and VPC networking. Strong Terraform or AWS CDK experience, including reusable module design and remote state management. Strong Docker knowledge, including multi-stage builds, image optimisation, ECR and image scanning. Experience building and owning CI/CD pipelines for .NET, Node.js/React or serverless applications. Proficiency in Bash and at least one of Python, PowerShell or C. Strong Linux administration and networking fundamentals, including DNS, TLS, load balancing, routing and security groups. Production on-call experience, including incident management, root cause analysis and post-mortems. Working knowledge of AWS security services and least-privilege IAM design. Experience with Git workflows, pull-request reviews and branch protection. A bachelor’s degree in Computer Science or a related field, or equivalent professional experience. Technology Environment The platform uses .NET services, React applications and AWS services including ECS, Fargate, EC2, ALB, API Gateway, Lambda, SQS, SNS, EventBridge, Step Functions, DynamoDB, Aurora MySQL, Cognito, CloudWatch, X-Ray, OpenTelemetry, IAM, KMS, WAF, GuardDuty, Security Hub and AWS Config. Experience with Grafana or Datadog is advantageous. Read more
The DevOps Engineer will bridge development and operations by designing, automating and maintaining reliable cloud infrastructure and CI/CD pipelines. The role will enable faster, safer and more efficient software delivery across development, testing, staging and production environments. Design, build and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI or GitHub Actions. Manage software releases, including scheduling, versioning, deployment and rollback procedures. Provision and manage AWS cloud infrastructure using Infrastructure as Code tools such as Terraform, Ansible or CloudFormation. Containerize applications and manage deployments using Docker and Kubernetes. Collaborate with development, QA and product teams to improve coding, testing and release processes. Integrate DevOps practices into the Agile software development lifecycle, including automated testing and deployment controls. Monitor system performance, availability and health using tools such as Prometheus, Grafana, Datadog or CloudWatch, and manage alerting and logging. Investigate production incidents, conduct root cause analyses and implement long-term reliability improvements. Automate operational tasks and configuration management to reduce manual effort and errors. Apply DevSecOps practices, including security testing, vulnerability scanning and secrets management. Manage Git workflows, branching strategies and collaborative code management. Optimise cloud infrastructure for performance, scalability, reliability and cost efficiency. Troubleshoot issues across systems, environments and application layers. Support disaster recovery, backup and business continuity processes. Document system architecture, deployment processes and troubleshooting procedures. Participate in code and infrastructure reviews and promote continuous improvement. Provide support and maintenance for existing systems and applications. Stay up to date with DevOps tools, technologies and industry best practices. Requirements Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field. Two to three years of proven experience in DevOps, Site Reliability Engineering, Infrastructure Engineering or Systems Engineering. Hands-on experience building and maintaining CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions or similar tools. Practical experience with AWS services, such as EC2, S3, RDS, EKS and VPC. Experience with Azure or Google Cloud Platform is an advantage. Experience with Infrastructure as Code tools, including Terraform, Ansible or CloudFormation. Practical experience with Docker and Kubernetes. Strong scripting or programming skills in Python, Bash or Shell. Working knowledge of Linux system administration. Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, Datadog or CloudWatch. Strong understanding of Git and collaborative version control practices. Familiarity with relational and NoSQL databases, including MySQL, PostgreSQL and MongoDB, in deployment or operations environments. Understanding of networking fundamentals and security best practices, including SAST, DAST, container vulnerability scanning and secrets management. Strong problem-solving, analytical and root cause analysis skills. Excellent communication, teamwork and cross-functional collaboration skills. Self-motivated and able to work independently while taking ownership of assigned responsibilities. Willingness to participate in an on-call rotation to support production incidents outside normal business hours. Role Details Job Title: DevOps Engineer – Cloud Infrastructure and Automation Department/Section: Research and Development Immediate Supervisor: Head of R&D – Marezi Indirect Supervisor: Head of Business – Marezi Desirable Qualifications Relevant project portfolio or previous practical DevOps experience. Professional certifications in AWS, Azure, Google Cloud, Kubernetes or related technologies. Role Clarifications The specific AWS services, on-call arrangements and working model should be confirmed. Potential arrangements include a 24/7 rotating on-call schedule, remote-first support and escalation to onsite support when required. Read more
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