Lead 24x7 application support for external web applications: manage incidents, perform RCA, implement preventative fixes, build monitoring/alerts, expand Splunk functionality, create dashboards, collaborate with development and platform teams, and participate in on-call rotation.
Application Support Engineer (Site Reliability Engineer)
Location: USA
Job Type: Full-Time, no visa sponsorship available
Coforge is seeking a Senior Application Support Engineer (SRE) to join our dynamic team of consultants. In this role, you'll lead efforts to ensure the reliability, availability, and performance of mission-critical applications and platforms.
What You'll DoAs an Application Support Engineer, you will:
- Be part of a global production operations team responsible supporting external facing web applications.
- Manage incidents, perform root cause analysis, and implement preventative solutions.
- Collaborate with development, infrastructure, and platform engineering teams to improve system reliability.
- Work within a global team to enable 24x7 support model for internal triage, communication, and root cause analysis.
- Provide 24/7 support as part of a team for production web applications running on AWS or Mulesoft APIs.
- Monitor and troubleshoot issues using observability tools like Splunk.
- Create, document, and iterate application monitoring including alerts and synthetic tests
- Investigate and expand functionality in Splunk to enable Splunk AI solutions.
- Create dashboards and capture metrics to improve visibility and performance.
- Respond proactively to system alerts and customer complaints.
- Apply industry best practices to support processes.
- Participate in a planned on-call rotation.
- 2–5 years of experience in Tier 2 or Tier 3 IT support roles (e.g., systems analysis, development, data/reporting).
- Proficiency with observability tools (OpenTelemetry, Splunk Cloud/Observatility Cloud, AppDynamics, Grafana, Datadog. Splunk preferred).
- Familiarity with Synthetic Testing (Splunk Synthetics, Selenium, etc)
- Familiarity with AWS and/or Kubernetes architecture.
- Strong ability to analyze logs and code to resolve Tier 2 issues.
- Experience in application-focused support engineering or SRE roles.
- Excellent written and verbal communication skills.
- Background in DevOps and scripting (Python preferred).
- Familiarity with ITIL practices, incident management, and documentation.
- Experience with disaster recovery, business continuity, and ServiceNow dashboards.
- Comfortable working in Linux environments and shell scripting.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Consulting experience and Agile methodology background.
- Proven ability to lead small to medium-sized teams.
- Certifications: ITIL Foundation, AWS, Azure, or GCP.
- Experience with Mulesoft, Postman, and API testing support.
- Experience writing complex SPL (Splunk Search Processing Language) queries for alerting/dashboarding.
- Experience with Application Performance Monitoring (APM) and Real User Monitoring (RUM)
- Understanding of networking concepts in cloud-native environments (AWS/Kubernetes/OpenShift).
- A proactive, "Can Do" attitude.
- Self-driven and autonomous work style.
- Strong communication across internal and external teams.
- Passion for operational excellence and continuous improvement.
- Commitment to compliance and industry best practices.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Automate operational processes, optimize cloud capacity, manage product releases, implement monitoring and alerting, resolve production incidents, maintain monitoring configurations, and participate in on-call support for reliable, scalable infrastructure.
Top Skills:
AWSAzureCGCPGoJavaKubernetesPythonShell
AdTech
Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.
Top Skills:
Amazon KinesisAWSAws LambdaAws SnsBigQueryClaude CodeCloudsqlCursorDatadogDockerGCPGitlabGoogle Cloud FunctionsGoogle Cloud RunGoogle Pub/SubGrafanaHelmIstioKafkaKubernetesMySQLPrometheusSpannerTerraform
Healthtech • Information Technology • Software • Telehealth
Designs and operates observability, automation, infrastructure as code, CI/CD, and reliability practices for distributed AWS systems. Partners with engineering teams to improve service visibility, scalability, performance, networking, deployment safety, incident response, and operational ownership. Participates in on-call rotations, leads incident response when needed, and drives blameless post-mortem remediation. Develops reusable platform standards for containers, service communication, secrets, routing, and production readiness.
Top Skills:
AWSCloudFormationDnsDockerGithub ActionsGitopsGoHttp/HttpsIngress ControllersJavaKubernetesLoad BalancersNtpOpentofuPythonReverse ProxiesRubyTcp/IpTerraformTlsWeb Application Firewalls
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
