BENGALURU · FULLTIME
Sr Software Engineer (Backend Support- C++/Golang/Python)

Impact Analytics
Bengaluru · onsite · Posted 13d ago
Sourced from
Undisclosed4–7 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Responsibilities
Production Application Support
Incident Management
Monitoring Observability
Operational Excellence
Continuous Improvement
What lands you in this Role
Qualifications Experience
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
The impact that you will be making
- The role is responsible for monitoring applications, investigating incidents, troubleshooting
- production issues, coordinating with engineering teams, and ensuring the availability and reliability of critical systems.
- This position requires working in rotational shifts, including night shifts, weekends, and holidays, to support a 24 7 production environment.
Responsibilities
Production Application Support
- Monitor backend applications, services, APIs, databases, queues, and other critical production systems.
- Provide Level 2 and L3 production support and respond to incidents within defined SLAs.
- Troubleshoot application failures, performance issues, API errors, data issues, and service disruptions.
- Perform initial investigation, log analysis, and issue triaging before escalating to the appropriate engineering teams.
- Identify recurring production issues and work with development teams on permanent fixes.
Incident Management
- Respond promptly to production alerts and incidents during assigned shifts.
- Own incidents from identification through investigation, mitigation, resolution, and closure.
- Coordinate with Development, DevOps/SRE, QA, Database, and Infrastructure teams during critical incidents.
- Escalate issues based on defined severity levels and escalation procedures.
- Maintain clear and timely communication with relevant stakeholders during major incidents.
- Participate in Root Cause Analysis (RCA) and post-incident reviews.
Monitoring Observability
- Monitor system health, application performance, availability, and error rates using observability and monitoring tools.
- Analyze application logs, metrics, traces, and alerts to identify issues and potential risks.
- Help improve alerting mechanisms to reduce false positives and improve incident response.
- Monitor scheduled jobs, batch processes, data pipelines, and integrations where applicable.
Operational Excellence
- Create and maintain runbooks, SOPs, troubleshooting guides, and knowledge-base documentation.
- Perform regular health checks and operational activities as per defined procedures.
- Identify opportunities for automation to reduce manual support effort and repetitive operational tasks.
- Participate in deployment validation and production readiness activities.
- Support release activities, including monitoring applications after production deployments.
- Ensure proper shift handovers, including open incidents, ongoing investigations, risks, and pending activities.
Continuous Improvement
- Analyze recurring incidents and operational trends.
- Work with engineering teams to improve application stability, reliability, performance, and supportability.
- Recommend improvements to monitoring, logging, alerting, automation, and operational processes.
- Contribute to reducing MTTR (Mean Time to Resolution) and improving service Availability.
What lands you in this Role
- Strong understanding of backend applications and distributed systems.
- Experience with one or more backend programming languages such as: Go (Golang), Java, Python, C++
- Good understanding of REST APIs and microservices architecture.
- Experience troubleshooting application and production issues using logs and monitoring tools.
- Knowledge of Linux/Unix commands and shell scripting.
- Understanding of databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.
- Basic understanding of caching technologies such as Redis.
- Familiarity with messaging or streaming platforms such as Kafka, RabbitMQ, or similar technologies.
- Understanding of HTTP, networking fundamentals, and API troubleshooting.
- Experience with monitoring and observability tools such as Datadog, Grafana, Prometheus, ELK, Splunk, or similar tools.
- Familiarity with containerized environments and technologies such as Docker and Kubernetes is preferred.
- Understanding of CI/CD pipelines and release/deployment processes is an advantage.
Qualifications Experience
- Bachelor s degree in Computer Science, Engineering, or a related technical discipline.
- 4-7 years of experience in Backend Engineering, Application Support,
- Production Support, Site Reliability, or a similar role.
- Experience supporting business-critical or customer-facing production applications are preferred.
- Experience working with distributed teams and cross-functional stakeholders is desirable.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationDatadogDevopsGrafanaDockerIncident ManagementCI/CD PipelinesDistributed SystemsapiscachingAnalyticsApplication SupportGolangdeploymentArchitectureGenerative AiData PipelineBackend SupportArtificial IntelligenceForecasting
Section · Company
About Impact Analytics

Impact Analytics
IT Services & Consulting
350
employees
2015
11 years old
Linthicum, Maryland
United States (USA)
About
Impact Analytics turns data into actionable insights that drive bottom-line growth. Leverage intelligent Automation to drive ROI with our AI-driven SaaS solutions.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
213 reviews
3.9/ 5
Culture
3.8
Career growth
3.5
Work-life
3.6
Employees rate it well for
Work Culture14Work Life Balance13Senior Management10Team Members9Salary8
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