Platform Engineering Engineer 3

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet

Job Title: Platform Engineering Engineer 3

Location: Chennai

Work Type: Hybrid (4 Days work From Office)

Position Description:

• A mid-to-senior level infrastructure and sytem engineering role tasked with owning platform availability, Infrastructure as Code (IaC), CI/CD pipelines, and deep runtime performance tuning (especially JVM-at-scale).
• The engineer bridges the gap between cloud architecture, SRE disciplines, runtime optimization, distributed backend systems, and modern AI-augmented platform operations.

Core Responsibilities:Platform Management & Reliability

• Define/own SLA/SLO/SLI and error budgets; build and maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
• Manage Kubernetes at cluster level (RBAC, quotas, autoscaling — HPA/VPA/Cluster Autoscaler) and Infrastructure as Code (Terraform, Pulumi, Ansible)
• Own on-call rotation, incident response, and blameless postmortems

JVM Configuration & Tuning

• Heap/generational sizing (-Xms/-Xmx, Young/Old ratios) and GC selection/tuning (G1GC default, ZGC/Shenandoah for low-latency, Parallel for throughput)
• Thread pool sizing vs. core count/I/O profile; JIT/tiered compilation flags; Metaspace and off-heap (direct buffer) management
• Diagnostics via jstack, jmap, async-profiler, JFR; GC log monitoring integrated into observability stack

Application Architecture Optimization

• Capacity planning and load testing (JMeter, Gatling, k6); bottleneck profiling (CPU/I/O/GC-bound)
• Microservices vs. monolith tradeoffs and service decomposition
• Caching strategy (Redis, Memcached, CDN) with invalidation design; connection pooling (HikariCP)
• Resilience patterns: circuit breakers, retries/backoff, bulkheads (Resilience4j)

Storage & Data Infrastructure

• Storage selection (block/object/file: EBS, S3, NFS, Ceph) and tiering for cost optimization
• DB performance tuning (indexing, query plans, replication lag) and consistency model tradeoffs (strong vs. eventual)
• DR strategy: RPO/RTO targets, snapshot policy, cross-region replication

Backend Composition & Architecture

• Service mesh (Istio, Linkerd): traffic management, mTLS, observability
• API gateway/load balancer configuration (rate limiting, routing algorithms); message queue/streaming design (Kafka, RabbitMQ, SQS) — partitioning, consumer scaling
• Deployment strategy: blue-green, canary, multi-tenancy design

Leveraging AI

• Infra automation: AI-assisted IaC generation/review (Terraform/K8s manifest drafting), config drift detection, auto-generated runbooks from incident data
• Incident response: AI-driven log/anomaly triage (correlating metrics, traces, logs pre-alert), root-cause suggestion during on-call, auto-summarized postmortems
• Capacity & performance: ML-based autoscaling/forecasting (beyond static HPA thresholds), predictive capacity planning from historical load patterns
• Code/config review: LLM-assisted PR review for IaC and pipeline configs, JVM flag recommendation based on workload profiling data
• Observability: Natural-language query interfaces over metrics/logs (e.g., Grafana/Datadog AI assistants), automated dashboard/alert-rule generation
• Toolchain fluency expected: working knowledge of AI coding assistants (Claude Code, Copilot, Cursor) integrated into IaC/pipeline workflows; increasingly listed as a preferred/required skill in senior postings

Required Technical Skills:

• Java/JVM (required for tuning depth), Python/Go/Bash for automation
• Cloud: AWS/GCP/Azure (one at expert level); Docker/Kubernetes (CKA-level often expected)
• Observability: Prometheus/Grafana, ELK/OpenSearch, Datadog, OpenTelemetry/Jaeger/Zipkin
• Networking: DNS, LB, TCP/IP, VPC/subnet design, security groups
• Security: IAM, secrets management (Vault/KMS), patching, vuln scanning

Skills Required:

• Java/JVM (required for tuning depth), Python/Go/Bash for automation Cloud: AWS/GCP/Azure (one at expert level); Docker/Kubernetes (CKA-level often expected)
• Observability: Prometheus/Grafana, ELK/OpenSearch, Datadog, OpenTelemetry/Jaeger/Zipkin Networking: DNS, LB, TCP/IP, VPC/subnet design, security groups Security: IAM, secrets management (Vault/KMS), patching, vuln scanning

Experience Required:

• Engineer 3 Exp: Proficient In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development

Experience Preferred:

• Runbook documentation, architecture decision records (ADRs)
• Cross-team collaboration (SRE, security, app dev)
• Capacity forecasting and cost optimization (FinOps)

Education Required:

• Bachelor's Degree
• BS CS/Engineering or equivalent;

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Pay: ₹693,000.00 - ₹1,910,000.00 per year

Work Location: In person