Operations Engineer, BizTech

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Operations Engineer, BizTech based in India.
This is an exciting opportunity for a technically skilled operations professional to strengthen enterprise technology reliability through intelligent automation, AI-powered diagnostics, and proactive monitoring. You will help manage operational workflows, resolve technical incidents, and transform repetitive support tasks into efficient, automated processes. The role combines observability, incident management, cloud infrastructure, data pipelines, and software development in a globally collaborative environment. You will leverage large language models and AI-assisted tools to accelerate troubleshooting, improve root-cause analysis, and develop self-healing operational capabilities. By building reliable dashboards and enhancing service visibility, you will help teams make informed decisions and maintain high-quality technology services. This position is ideal for an analytical, automation-focused engineer who enjoys solving complex problems and continuously improving operational performance.
Accountabilities
Manage incoming technical support tickets, prioritize requests according to urgency and impact, and drive issues toward timely resolution.
Identify recurring incidents and repetitive support tasks, developing AI-assisted automation solutions to reduce ticket volumes and improve operational efficiency.
Participate in a rotating on-call schedule, including weekends, responding to incidents, troubleshooting issues, documenting findings, and coordinating recovery efforts.
Build, maintain, and enhance monitoring dashboards using tools such as Grafana, Tableau, and Superset to track service availability, operational health, and data quality.
Apply AI-assisted tools, including large language model (LLM) solutions and coding assistants, to accelerate ticket triage, diagnostics, root-cause analysis, scripting, and technical documentation.
Design and implement intelligent automation workflows, agent-based processes, and self-healing monitoring capabilities to identify and address issues before they escalate.
Develop, maintain, and optimize operational scripts and automation tools using programming and scripting languages such as Python, Go, JavaScript, TypeScript, and Bash.
Monitor observability metrics, alerts, data pipelines, and infrastructure performance to identify anomalies, investigate service disruptions, and improve system reliability.
Use data-driven insights to improve incident response times, reduce mean time to resolution (MTTR), and enhance the quality and accuracy of operational reporting.
Collaborate with global technology and business stakeholders to coordinate incident resolution, communicate technical findings, and maintain consistent service delivery.
Support infrastructure automation and deployment workflows using Infrastructure as Code (IaC), continuous integration and continuous delivery (CI/CD), and cloud-based tooling.
Contribute to the development and maintenance of operational runbooks, troubleshooting procedures, knowledge bases, and incident documentation.
Work with enterprise SaaS platforms and identity management systems to support integrations, access management, and reliable corporate technology operations.
Continuously evaluate operational processes, identify improvement opportunities, and introduce scalable solutions that strengthen resilience, efficiency, and service quality.
Requirements
At least three years of experience working with observability, monitoring, and metrics platforms such as Prometheus, Grafana, Datadog, or Elasticsearch.
At least three years of experience with data querying, data pipelines, or related technologies, including SQL, Airflow, Trino, or SQS.
Proficiency in one or more general-purpose programming or scripting languages, such as Python, Go, JavaScript, TypeScript, or Bash, with the ability to develop automation solutions and troubleshoot technical issues.
Hands-on experience with cloud environments such as AWS, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure.
Practical knowledge of Infrastructure as Code (IaC), CI/CD pipelines, and automation tools such as Jenkins, Argo CD, or GitHub Actions.
Understanding of monitoring strategies, incident management, service reliability, alerting systems, and root-cause analysis.
Working knowledge of networking fundamentals and hardware, including technologies or solutions associated with Cisco and Palo Alto.
Experience working in ticket-based support and workflow management environments using tools such as Jira and Confluence.
Familiarity with AI-powered productivity and development tools, including large language models and coding assistants, and the ability to apply them thoughtfully to troubleshooting, documentation, and workflow automation.
Experience supporting enterprise SaaS applications, such as Salesforce or Workday, and single sign-on (SSO) or identity management integrations, such as Okta, is an advantage.
Strong analytical and problem-solving skills, with the ability to investigate complex technical issues and interpret monitoring data effectively.
Excellent organizational skills and attention to detail, particularly when managing incidents, maintaining documentation, and ensuring data quality.
Strong written and verbal communication skills, with the ability to explain technical issues clearly and collaborate with globally distributed teams.
Ability to work independently, manage competing priorities, participate in on-call rotations, and exercise sound judgment when using AI-assisted solutions.
A proactive, continuous-improvement mindset, with a strong interest in automation, operational resilience, emerging technologies, and scalable engineering practices.
Benefits
Remote work opportunity: Work remotely, subject to confirmation of employment eligibility and approved work location in India.
Competitive compensation: The original US posting lists an annual base salary range of USD 136,000–160,000. This range is specific to the US role and should not be interpreted as confirmed compensation for India-based employment.
Potential additional compensation: The original posting indicates possible eligibility for bonuses and equity, subject to applicable employment terms and location.
Employee benefits: Additional benefits may be available depending on the employing entity and employment arrangement.
Employee travel credits: The original US posting mentions potential eligibility for employee travel credits, subject to applicable terms.
Technical development: Gain hands-on experience with AI-powered operations, cloud infrastructure, observability, and advanced automation practices.
Cross-functional collaboration: Work with global teams to improve service reliability, operational efficiency, and enterprise technology performance.
Meaningful technical impact: Help build scalable operational systems that reduce repetitive work, accelerate incident resolution, and improve service quality.
Inclusive workplace: Work in an environment that values diverse perspectives and is committed to equal opportunity and reasonable accommodations.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes