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Technical Manager

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Hybrid

Technical Manager

LOM Worldwide

Technical Manager

Skills

SQL QueriesPythonJavaPostgreSQLMySQLDatadogGrafanaAIPrometheusLinuxOracle

22 days ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

29 September 2026

What they need


TECHNICAL MANAGER, ENGINEERING · Gurgaon

A telecom VAS engineer who became a leader without losing the engineering — still able to review code and debug a live signalling fault, now doing it through a team and in front of an operator's CTIO.

NON-NEGOTIABLES

Minimum 10 years in telecom VAS. Adjacent core-network platform experience is welcome, but the domain is not learnable on the job here. Candidate must be able to hold a technical conversation with an operator's network team as a peer.

Hands-on signalling and protocol depth: SIP, RTP/SRTP, SMPP, IN/SCP, OCS, HLR, USSD, SMTP. Practical understanding of charging and messaging flows — not vendor-tool familiarity.

Real, current coding ability in C/C++, Java, or Python, with fundamentals intact: data structures, concurrency and multithreading, IPC, sockets, memory management. Roughly 5+ years hands-on development in their history.

3+ years setting technical direction — reviewing designs and code, coaching engineers, owning HLD.

Solution architecture across greenfield and brownfield operator environments: HLD/LLD, impact analysis, HA/redundancy/failover design.

Strong Linux for development and production debugging (profiling, tracing, log/system diagnostics).

People management — has actually hired, grown, reviewed, and retained engineers.

Client-facing with telecom operators, at senior level.

AI tooling in real delivery — Claude Code, Cursor, Copilot or equivalent, with a concrete story of impact. This one matters more than candidates expect; see §7.

BE / B.Tech / ME / M.Tech / MCA in CS or Engineering.

On-site in Gurgaon. Not hybrid, not remote.

STRONG SIGNALS

Applied AI engineering depth: prompt and context engineering, RAG, LLM evaluation, internal AI tooling (MCP, automation pipelines)

Agentic AI or Conversational AI (voice/chat) product experience

Multi-country operator deployments, especially Africa, MENA, South Asia

Technical pre-sales or solutions consulting with operator clients

Observability stacks: Prometheus, Grafana, OpenTelemetry, ELK, Datadog

Relational database depth (Oracle, PostgreSQL, MySQL) — schema, SQL/stored procedures, query optimisation at volume

SDP integrations and billing-system migrations on live traffic

Pay: ₹3,032,953.96 - ₹3,999,648.47 per year

Work Location: In person

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