--- title: 'Site Reliability Engineer (SRE) at TTEC Digital' canonical: 'https://feeny.ai/job/site-reliability-engineer-sre-ttec-digital-hyderabad-nywxxvc0bftn' type: 'job' last_seen: '2026-09-24' --- # Site Reliability Engineer (SRE) at TTEC Digital - **Company:** TTEC Digital - **Location:** Hyderabad, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-17 - **Last confirmed live:** 2026-09-24 - **Apply:** https://jobs.lever.co/ttecdigital/996e5241-b43b-42f6-9c25-142ea4ff5681 ## Job description At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive. The role: Own production reliability for a real-time platform where uptime and latency ARE the product — voice, desktop, intelligence, and AI combined; an agent mid-call can't wait for a retry. First SRE hired immediately (Day 0–14) for production scaling and SLO ownership; a second joins at the start of Phase 3 for 24/7 coverage. Pairs with C1 Platform Foundation on observability and tenancy isolation. Startup environment: weekly deploys, 1-week sprints, fail fast, move forward — reliability engineering at that speed, not against it. What you'll own: SLOs and error budgets per tenant/service Incident response and blameless postmortems Production scaling and capacity Observability depth (p50/p95/p99 per event hop) Uptime as a personal mission On-call rotation with DevOps Your committed timelines. Who you are: Self-starter, grit, show-me mentality — you prove reliability with dashboards and drills, not assertions. A ways-to-YES engineer: weekly deploys are the heartbeat and your job is making them safe, never slowing them. You love new technology, adapt fast when the stack changes under you, use AI tools daily to multiply velocity, and consider yourself exceptional. Calm in an incident, relentless after it. Team player who likes winning. 8+ years operating production systems at scale; owns SLOs, error budgets, incident command. Strong Go or Python — you automate reliability, you don't toil at it. Everything you build is code: runbooks execute, remediation is automatic, toil trends to zero. Deep on event-driven and real-time systems reliability — NATS-class buses, WebSocket fleets, streaming pipelines — and the failure physics underneath: state, race conditions, locking, ordering, back-pressure, cascading load. You've debugged these in production. Strong monitoring and uptime mindset — metrics, logs, traces wired to alerting that catches it before the customer does; you know the difference between a noisy alert and a real signal. Good networking understanding — protocols and how they work (TCP/UDP, TLS, WebSocket, DNS, load balancing); RTP/SIP a strong plus for our media paths. GCP at scale; multi-cloud literacy a plus. Multi-tenancy isolation experience a strong plus. Capacity modeling and load testing partnership with QA — find the knee of the curve before customers do. Chaos engineering — failure injection as routine practice; prove graceful degradation, don't assume it. Deploy-safety partnership with DevOps — canary analysis, automatic rollback triggers, error-budget-driven release gates. AI-aware reliability — monitoring model latency, drift, and cost as production signals, not just CPU and memory. Incident communication craft — clear, fast, blameless; execs and customers get truth at the right altitude. A master debugger of production — reads the trace, the metric, the flame graph, and sees it; narrows an incident to the service, the deploy, the event. What You Will Bring: 8+ years operating production systems at scale; owns SLOs, error budgets, incident command. Strong Go or Python — you automate reliability, you don't toil at it. Everything you build is code: runbooks execute, remediation is automatic, toil trends to zero. Deep on event-driven and real-time systems reliability — NATS-class buses, WebSocket fleets, streaming pipelines — and the failure physics underneath: state, race conditions, locking, ordering, back-pressure, cascading load. You've debugged these in production. Strong monitoring and uptime mindset — metrics, logs, traces wired to alerting that catches it before the customer does; you know the difference between a noisy alert and a real signal. Good networking understanding — protocols and how they work (TCP/UDP, TLS, WebSocket, DNS, load balancing); RTP/SIP a strong plus for our media paths. GCP at scale; multi-cloud literacy a plus. Multi-tenancy isolation experience a strong plus. Capacity modeling and load testing partnership with QA — find the knee of the curve before customers do. Chaos engineering — failure injection as routine practice; prove graceful degradation, don't assume it. Deploy-safety partnership with DevOps — canary analysis, automatic rollback triggers, error-budget-driven release gates. AI-aware reliability — monitoring model latency, drift, and cost as production signals, not just CPU and memory. Incident communication craft — clear, fast, blameless; execs and customers get truth at the right altitude. A master debugger of production — reads the trace, the metric, the flame graph, and sees it; narrows an incident to the service, the deploy, the event. ## About TTEC Digital ## Company Overview - **One-liner**: TTEC Digital is the largest pure-play Customer Experience (CX) technology partner globally, delivering data, AI, observability, security, and contact center solutions for enterprise clients. - **Entity Type**: Public (subsidiary of TTEC Holdings, NASDAQ: TTEC) - **Headquarters**: Austin, Texas, United States (with offices in Greenwood Village, Colorado, and global locations) - **Founded**: 1982 (as part of TTEC; TTEC Digital operates as a dedicated digital business unit) - **Founders**: Not publicly disclosed for TTEC Digital specifically; TTEC Holdings was founded by Kenneth Tuchman ## Core Business - **Primary industry**: IT Services and IT Consulting, specifically Customer Experience (CX) technology and digital transformation - **Target customers**: Enterprise B2B clients (1,000+ clients across North America, Europe, and Asia Pacific), including global brands and public service organizations - **Mission or purpose statement**: "To help the world’s most respected organizations create connected, valuable, lasting relationships." (Guided by values of purpose, humanity, and connection) ## Products & Services - **CX Strategy & Consulting**: End-to-end CX design, orchestration, and transformation consulting, including customer journey mapping and experience architecture. - **Contact Center Technology Implementation**: Certified at the highest tier across major platforms (Amazon Connect, Google Gemini Enterprise, NICE CXone, Genesys Cloud, Five9), covering implementation, integration, and optimization. - **AI & Agentic AI Solutions**: Design and deployment of AI-driven contact center solutions, including agentic AI architectures, conversational AI, and Google Gemini Enterprise CX. - **Data, Analytics & Insights**: Data engineering, analytics, and insights services to drive customer behavior understanding and business outcomes. - **Observability & Security**: Cloud-native observability, security, and monitoring solutions for CX environments. - **Managed Services**: Ongoing operations, maintenance, and support for CX technology stacks, with outcome-based delivery rather than hours billed. - **Proprietary Software & Forward-Deployed Engineers**: Custom-built software and embedded engineering resources for tailored client solutions. ## Market Standing - **Valuation/Market Cap**: Not disclosed (TTEC Digital is a subsidiary; TTEC Holdings' market cap is separate and not provided in sources) - **Key Metric**: Annual Revenue not publicly disclosed for TTEC Digital; parent TTEC Holdings reports consolidated revenue. Total funding is not applicable (public parent). - **Notable Investors/Partners**: Certified partner of Amazon Web Services (AWS), Google Cloud (Gemini), NICE, Genesys, Five9, and other leading CX platforms. Clients include global brands across North America, Europe, and Asia Pacific. - **Growth Signals**: - Headcount growth: +12.1% YoY (+214 employees) per LinkedIn; official site claims 2,000 technologists (conflicting reports — see Sources) - Active job postings up +82.4% year-over-year (62 open positions as of data date) - 2026 Great Place to Work Certification (USA); 2025 Gold, Silver & Bronze Stevie Awards; 2024 Fortune's America's Most Innovative Companies ## Competitive Advantages - **Largest pure-play CX technology partner** globally, with a deep foundation in data, AI, and observability/security - **2,000+ technologists** and certified at the highest tier across every major CX technology platform (data, analytics, contact center, CRM, cloud, frontier AI) - **Single accountable partner** model — from first architecture decision through deployment and ongoing operations - **Outcome-based delivery** (measured on outcomes, not hours billed) with a "global firm + strategic partner" agility - **Global footprint** with offices across North America, Europe, Asia Pacific, and delivery centers in India and Philippines, offering support in dozens of languages ## Strategic Focus - **AI-driven transformation**: Scaling agentic AI and generative AI solutions across enterprise CX (e.g., Google Gemini Enterprise, Amazon Connect agentic AI) - **Cloud-native modernization**: Deepening AWS, Azure, and Google Cloud expertise for contact center and CX infrastructure - **Data & analytics expansion**: Growing analytics and insights capabilities to drive measurable business outcomes - **Talent acquisition**: Aggressively hiring across senior consulting, architecture, and engineering roles (62 active postings, +82.4% YoY job posting growth) ## Why Work Here - **Great Place to Work certified** (2026, 2025, 2024) — recognized for team quality and culture - **Remote-friendly**: Many roles are remote (e.g., "Remote — Full-Time Austin, TX"), with a fully remote U.S.-based team; some on-site roles in Hyderabad, India - **Global stage**: Work with world-renowned brands and essential public service organizations on high-stakes AI and cloud projects - **Engineering culture**: "Ditch the script and build tailor-made systems" — emphasis on innovation, custom builds, and forward-deployed engineering - **Employee ratings** (LinkedIn): 3.8/5 overall; Work-Life Balance 4.1, Compensation 3.6, Culture 3.6, Career 3.5 - **Growth opportunities**: Strong headcount growth (+12.1% YoY) and expanding AI practice areas - **Diverse, global team**: Workforce distributed across 20+ countries, with strong talent pipelines from Cognizant, Avtex, HCLTech, and Accenture ## Sources 1. [ttecdigital.com](https://www.ttecdigital.com/about) 2. [ttecdigital.com](https://www.ttecdigital.com/careers) 3. [jobs.lever.co](https://jobs.lever.co/ttecdigital) 4. [linkedin.com](https://linkedin.com/company/ttec-digital) 5. 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