Staff Site Reliability Engineer (8+ years) at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Site Reliability Engineering, Kubernetes, Terraform, GitOps, Observability, Incident Management, Performance Engineering, Cloud Engineering, CI/CD, Disaster Recovery, Security, Programming, Communication, Mentoring, GenAI, Streaming Platforms

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Expert-level proficiency operating large-scale, distributed, mission-critical systems: designing for high availability, multi-region resiliency, low latency, and predictable performance under extreme load. SRE fundamentals at Staff level: defines and drives SLOs/SLIs, error budgets, availability targets, and capacity guardrails codifies reliability requirements into design reviews and change-management gates. Deep hands-on with Kubernetes and container platforms: multi-cluster operations, workload placement, HPA/VPA, pod disruption budgets, network policies, admission control, service mesh (Istio/Linkerd), and progressive delivery (blue/green, canary, feature flags). Infra as Code and GitOps: Terraform (and/or Pulumi), Helm/Kustomize, Argo CD/Flux builds reusable modules, policy-as-code (OPA/Conftest), environment drift detection, and automated remediation. Observability at scale: OpenTelemetry instrumentation/tracing, metrics (Prometheus), logging (ELK/OpenSearch), distributed tracing (Jaeger/Tempo/Zipkin), dashboards and SLO burn-rate alerts (Grafana) designs actionable alerts with runbook automation. Proven incident leadership: serves as Incident Commander for P0/P1 events, coordinates cross-functional response, stabilizes systems, restores service quickly, and drives blameless postmortems with measurable follow-through. Performance engineering and capacity planning: load and resilience testing, GC/heap and thread tuning (for JVM services), profiling (CPU, memory, IO), caching strategies, queue backpressure, and cost-aware capacity models. Strong systems and networking: Linux internals, filesystems, TCP/UDP, TLS/mTLS, HTTP/2/3, DNS, BGP/Anycast concepts, L4–L7 load balancing (Envoy/HAProxy/NGINX), CDN/edge (Cloudflare/Fastly/Akamai), WAF, and DDoS mitigation. Data/store reliability: operational experience with relational (PostgreSQL/MySQL/Oracle) and NoSQL (Cassandra/DynamoDB/MongoDB), streaming platforms (Kafka/Pulsar/Kinesis), and distributed caches (Redis/Hazelcast) backup/restore, consistency models, compaction/retention tuning, and multi-AZ/region failover. Cloud and platform engineering: AWS/Azure/GCP core services, VPC design, IAM/RBAC, KMS, secrets management (Vault), service catalog, golden images/base containers, and paved-road platforms for developers. Release engineering and CI/CD: Jenkins/GitHub Actions/GitLab CI, artifact/signing/SBOM, canary analysis, automated rollbacks, deployment safety checks, and change failure rate/MTTR improvements. Reliability-by-design partnership: participates in and leads architecture/design reviews, threat modeling, and resilience patterns (bulkheads, circuit breakers, idempotency, retry/backoff, dead-letter handling). Disaster recovery and business continuity: RTO/RPO objectives, runbooks, game days/chaos experiments (Litmus/Gremlin), regional evacuation, and active-active/active-passive strategies. Security in depth for production systems: least privilege, workload identity, image and dependency scanning, supply-chain hardening (SLSA), SBOM, network segmentation/zero trust, and PCI-DSS-aligned operational controls. Strong programming and automation: production-grade Go and/or Python (plus Bash), contributing SRE tooling, controllers/operators, and APIs code reviews, testing, and docs-as-code. Effective communicator and influencer: aligns reliability strategy with business outcomes, mentors engineers, challenges assumptions with data, and proposes pragmatic, incremental improvements. Experience leveraging GenAI/LLMs as copilots: accelerating runbook authoring, alert triage, knowledge retrieval, and post-incident synthesis with appropriate guardrails and data security. Nice to have: JVM and Node.js runtime tuning experience traffic engineering at Internet scale mobile edge/network reliability considerations. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Demonstrated ownership of SLOs/error budgets and production change risk management for tier-1 services. Production experience with Kubernetes at scale, service mesh, and at least one major cloud provider (AWS/Azure/GCP). Proficiency with Terraform and GitOps workflows strong coding skills in Go and/or Python. Hands-on with observability stacks (Open Telemetry + Prometheus/Grafana + ELK/OpenSearch + one commercial APM/log platform). Track record as Incident Commander and author of high-quality postmortems that drove systemic fixes. Experience with streaming platforms (Kafka/Pulsar), distributed datastores (Cassandra/DynamoDB), and caching (Redis). Familiarity with PCI-DSS or similarly stringent compliance environments. Excellent communication, stakeholder management, and mentoring abilities. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Responsibilities

The Staff Site Reliability Engineer will operate large-scale, distributed systems, ensuring high availability and performance under load. They will also lead incident management and drive reliability improvements across the organization.