Tech Lead – DevOps & Reliability
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 30, 2026. Propel Software scores B on the Alion truth index.
COMPANY
Propel Software transforms the way product companies work. Our product value management platform connects commercial and product teams to optimize decision making, drive process efficiencies, and engage customers with compelling products and experiences. Propel has a proven track record of improving product quality, speeding time to revenue and profit, and improving customer satisfaction. Recognized as a Deloitte Technology Fast 500 winner and one of Fortune’s Most Innovative Companies in America, Propel is built on Salesforce and drives product success for hyper growth startups, corporate pioneers, and Fortune 500 leaders in the high tech, medtech and consumer goods industries.
ROLE
We are looking for a DevOps Engineer to own and continuously improve Propel's software delivery lifecycle-from build and deployment through production releases, application health, observability, and L2 production support.
This is not a traditional infrastructure-focused DevOps role. The engineer will work closely with the development team and be an integral part of the engineering delivery process.
The role combines DevOps engineering, CI/CD automation, application observability, release management, security guardrails, and AI-assisted engineering.
The ideal candidate is a hands-on engineer who enjoys solving operational problems, building automation and engineering tools, improving delivery workflows, and understanding how applications behave in production.
IMPORTANT NOTE: This is an in-office position located in Trivandrum, requiring attendance 4+ days per week. By submitting your application, you confirm that you are either presently located in Trivandrum or prepared to relocate. Relocation assistance is not provided for this role.
In this role you can expect to:
Own and optimize end-to-end CI/CD pipelines, builds, and deployments across application packages and services.
Develop automation scripts and internal engineering tools to reduce manual dependencies for developers.
Leverage modern AI-assisted engineering tools for troubleshooting, automation, scripting, and operational efficiency.
Monitor application health, availability, and performance across production services.
Establish robust observability (logs, metrics, alerts, health checks) to detect and resolve production issues early.
Plan, coordinate, and execute scheduled production releases, patch releases, and Heroku deployments.
Manage release risks, post-release validation, rollback/recovery procedures, and participate in release support.
Integrate automated security scanning and vulnerability detection within delivery pipelines.
Apply OWASP standards and establish security guardrails to ensure safe, compliant software releases.
To be successful in this role you bring:
8-10 years of DevOps, CI/CD, and software delivery experience in AWS cloud environments.
Strong background in build, deployment, release automation, and production application support.
Proven troubleshooting skills with the ability to debug backend code and resolve complex technical issues.
Expertise in application logging, monitoring, and observability.
Proficiency in CI/CD pipeline security, vulnerability scanning, and applying OWASP standards.
Strong scripting and automation capabilities to build tooling, workflows, and process improvements.
Familiarity with Git workflows and modern AI-assisted engineering tools.
Hands-on experience with OAuth 2.0 or modern authentication/authorization mechanisms.
Strong ownership, cross-functional collaboration, and communication skills.
Hands-on experience with cloud infrastructure, containerization (Docker, Kubernetes/EKS), and Infrastructure as Code (Terraform).
Strong background in application observability, performance monitoring, backend engineering (Python, Java, Node.js), and database troubleshooting.
Familiarity with Agile/Scrum practices, release management, AWS certification, and building/deploying AI-assisted workflows.