Dev‑Ops Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Dev-Ops Engineer based in India. This role offers the opportunity to build and operate the cloud infrastructure behind a rapidly scaling, AI-driven fintech platform. You will own critical infrastructure, deployment pipelines, observability, automation, and security across AWS environments. The position combines hands-on engineering with platform reliability, enabling development and data teams to ship safely and efficiently. You will work across containers, serverless workloads, CI/CD, infrastructure-as-code, and modern data platforms. Your work will have a direct impact on the reliability, scalability, security, and performance of core financial technology systems. The environment is remote-first, highly collaborative, and designed for engineers who value autonomy and fast execution. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Dev-Ops Engineer based in India. This role offers the opportunity to build and operate the cloud infrastructure behind a rapidly scaling, AI-driven fintech platform. You will own critical infrastructure, deployment pipelines, observability, automation, and security across AWS environments. The position combines hands-on engineering with platform reliability, enabling development and data teams to ship safely and efficiently. You will work across containers, serverless workloads, CI/CD, infrastructure-as-code, and modern data platforms. Your work will have a direct impact on the reliability, scalability, security, and performance of core financial technology systems. The environment is remote-first, highly collaborative, and designed for engineers who value autonomy and fast execution. Accountabilities Design, provision, and maintain AWS infrastructure across services including VPC, Lambda, RDS, S3, and IAM using infrastructure-as-code, preferably Terraform or CloudFormation. Build, maintain, and optimize GitHub Actions CI/CD pipelines for backend and frontend applications, enabling reliable and zero-downtime deployments. Operate containerized and serverless workloads using technologies such as ECS/Fargate and Lambda, implementing safe rollout and release strategies. Develop production-grade monitoring, logging, alerting, and observability solutions using CloudWatch, Prometheus, ELK, or comparable technologies. Automate infrastructure operations, environment provisioning, feature flagging, and recurring platform tasks through scripting and engineering best practices. Implement and maintain cloud security controls, including least-privilege IAM, network segmentation, secure configuration, and secrets management using SSM or Secrets Manager. Support the data platform and associated ETL workflows, including Snowflake and dbt environments used by data and analytics teams. Collaborate closely with Engineering, Data, and QA teams to improve deployment reliability, system performance, and operational efficiency. Participate in incident management, troubleshooting, root-cause analysis, and continuous improvements to platform resilience. Contribute to event-driven and distributed workflow infrastructure, including technologies such as Step Functions, Temporal, Airflow, or Prefect. Help develop infrastructure capable of supporting AI-powered automation, with attention to latency, autoscaling, throughput, and cost efficiency. Improve observability for complex, multi-step workflows through distributed tracing, structured logging, and audit-friendly operational practices. Requirements 4+ years of professional experience in DevOps, Site Reliability Engineering, platform engineering, or a similar infrastructure-focused role. Deep hands-on experience with AWS and strong expertise in infrastructure-as-code, with Terraform preferred. Proven experience designing and maintaining CI/CD pipelines, particularly with GitHub Actions. Practical experience operating containers and serverless architectures in production environments. Strong understanding of monitoring, logging, observability, incident management, and production troubleshooting. Proficiency in scripting or automation using Bash, Python, Node.js, or similar technologies. Solid understanding of cloud security principles, including least privilege, network segmentation, and secure secrets management. Experience supporting data engineering workflows, including Snowflake, ETL processes, and dbt. Exposure to Kubernetes and container orchestration technologies. Understanding of event-driven architectures and workflow orchestration, such as AWS Step Functions or Temporal. Strong problem-solving and analytical skills, with the ability to investigate complex infrastructure issues and develop scalable solutions. Comfortable working independently, taking ownership of critical systems, and making pragmatic technical decisions in a fast-moving environment. Strong communication and collaboration skills, with the ability to work effectively across Engineering, Data, QA, and business stakeholders. Familiarity with agentic workflow patterns, asynchronous processing, dynamic routing, API-based decision systems, or infrastructure for AI-powered automation is a strong advantage. Benefits Competitive salary. Remote-first position based in India, with flexibility around working hours and location. High level of ownership and direct impact on critical infrastructure and products. Opportunity to work with modern AWS, infrastructure-as-code, CI/CD, container, serverless, and data technologies. Exposure to AI-powered automation and infrastructure supporting high-throughput workflows. Close collaboration with founders and cross-functional technical teams. Fast decision-making and a low-bureaucracy working environment. Clear expectations, regular feedback, and strong opportunities for professional growth. Opportunity to solve complex, meaningful problems within a high-impact fintech environment. Flexible and autonomous working culture designed to support effective remote collaboration. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1