IT_NN1 Jobs_NN2 Abound_VV0 ..._... 
If_CS You_PPY Have_VH0 the_AT Right_JJ Skills_NN2 Despite_II high_JJ energy_NN1 prices_NN2 ,_, rising_VVG inflation_NN1 ,_, falling_VVG retail_JJ sales_NN ,_, a_AT1 rough_JJ housing_NN1 market_NN1 and_CC a_AT1 host_NN1 of_IO other_JJ troubling_JJ economic_JJ indicators_NN2 ,_, IT_NN1 hiring_NN1 is_VBZ still_RR showing_VVG some_DD signs_NN2 of_IO life_NN1 ._. 
Outlook_NN1 for_IF IT_NN1 Jobs_NN2 in_II 2009_MC You_PPY just_RR need_VV0 to_TO have_VHI the_AT right_JJ skills_NN2 --_NN1 or_CC apply_VV0 to_II the_AT right_JJ kind_NN1 of_IO company_NN1 ._. 
And_CC for_IF some_DD of_IO those_DD2 would-be_JJ employers_NN2 ,_, finding_VVG people_NN to_TO fill_VVI the_AT jobs_NN2 they_PPHS2 have_VH0 available_JJ is_VBZ n't_XX proving_VVG to_TO be_VBI easy_JJ ._. 
For_REX21 example_REX22 ,_, there_EX are_VBR plenty_PN of_IO open_JJ jobs_NN2 for_IF software_NN1 developers_NN2 with_IW experience_NN1 building_NN1 wireless_NN1 or_CC embedded_JJ applications_NN2 ,_, according_II21 to_II22 Jim_NP1 Lanzalotto_NP1 ,_, vice_JJ president_NN1 of_IO strategy_NN1 and_CC marketing_NN1 at_II Yoh_NP1 Services_NN2 LLC_NP1 ,_, a_AT1 Philadelphia-based_JJ staffing_NN1 agency_NN1 and_CC outsourcing_VVG vendor_NN1 ._. 
Also_RR in_II demand_NN1 ,_, are_VBR IT_NN1 workers_NN2 and_CC consultants_NN2 who_PNQS have_VH0 SAP_NN1 know-how_NN1 or_CC are_VBR familiar_JJ with_IW rival_JJ ERP_NN1 applications_NN2 ,_, such_II21 as_II22 Oracle_NN1 's_GE PeopleSoft_NN1 human_NN1 resources_NN2 software_NN1 ._. 
SAP_VV0 AG_FO itself_PPX1 has_VHZ estimated_VVN that_CST about_RG 30,000_MC more_DAR technical_JJ specialists_NN2 are_VBR needed_VVN worldwide_RL to_TO fill_VVI a_AT1 skills_NN2 gap_NN1 for_IF its_APPGE apps_NN2 ,_, Lanzalotto_NP1 noted_VVD ._. 
On_II the_AT other_JJ hand_NN1 ,_, he_PPHS1 said_VVD IT_PPH1 projects_VVZ that_CST do_VD0 n't_XX "_" touch_VV0 the_AT customers_NN2 "_" may_VM be_VBI canceled_VVN or_CC deferred_JJ because_II21 of_II22 tight_JJ budgets_NN2 ._. 
As_II a_AT1 result_NN1 ,_, companies_NN2 that_CST are_VBR in_II hiring_VVG mode_NN1 now_RT are_VBR typically_RR trying_VVG to_TO use_VVI IT_NN1 to_TO help_VVI boost_VVI their_APPGE revenues_NN2 ,_, not_XX to_TO make_VVI internal_JJ improvements_NN2 ,_, Lanzalotto_NP1 said_VVD ._. 
Amazon.com_NP1 Inc._JJ is_VBZ a_AT1 case_NN1 in_II point_NN1 ._. 
Amazon_NP1 was_VBDZ one_MC1 of_IO several_DA2 companies_NN2 that_CST sent_VVD recruiters_NN2 to_II the_AT O'Reilly_NP1 Open_JJ Source_NN1 Convention_NN1 in_II July_NPM1 ,_, in_II hopes_NN2 of_IO finding_VVG the_AT right_JJ candidates_NN2 for_IF IT_NN1 jobs_NN2 that_CST it_PPH1 has_VHZ available_JJ ._. 
Brian_NP1 Krueger_NP1 ,_, Amazon_NP1 's_GE vice_JJ president_NN1 of_IO global_JJ talent_NN1 acquisition_NN1 ,_, said_VVD in_II a_AT1 follow-up_JJ interview_NN1 that_CST the_AT online_JJ retailer_NN1 and_CC Web_NN1 services_NN2 company_NN1 is_VBZ looking_VVG to_TO hire_VVI a_AT1 variety_NN1 of_IO new_JJ IT_NN1 workers_NN2 "_" to_II fuel_NN1 our_APPGE growth_NN1 ._. "_" 
That_DD1 includes_VVZ software_NN1 developers_NN2 and_CC people_NN with_IW experience_NN1 in_II designing_VVG enterprise-class_JJ systems_NN2 ,_, as_II31 well_II32 as_II33 development_NN1 and_CC technical_JJ program_NN1 managers_NN2 ,_, network_NN1 engineers_NN2 and_CC tech_NN1 support_NN1 workers_NN2 ._. 
But_CCB Krueger_NP1 indicated_VVD that_CST attracting_JJ candidates_NN2 for_IF all_DB those_DD2 positions_NN2 has_VHZ n't_XX been_VBN easy_JJ ,_, partly_RR because_II21 of_II22 Amazon_NP1 's_GE retail-oriented_JJ image_NN1 ._. 
Greg_NP1 Whalin_NP1 ,_, chief_JJ technology_NN1 officer_NN1 at_II Meetup_NP1 Inc._JJ ,_, which_DDQ operates_VVZ a_AT1 Web_NN1 site_NN1 for_IF people_NN who_PNQS want_VV0 to_TO organize_VVI groups_NN2 around_II shared_JJ interests_NN2 in_II their_APPGE local_JJ communities_NN2 ,_, said_VVD that_CST as_CS31 far_CS32 as_CS33 he_PPHS1 's_VBZ concerned_JJ ,_, the_AT economy_NN1 is_VBZ n't_XX having_VHG any_DD affect_NN1 on_II IT_NN1 hiring_NN1 ._. 
Meetup_VV0 ,_, which_DDQ currently_RR employs_VVZ about_RG 50_MC people_NN ,_, has_VHZ five_MC open_JJ positions_NN2 and_CC is_VBZ seeking_VVG another_DD1 10_MC to_II 15_MC workers_NN2 to_TO fill_VVI job_NN1 openings_NN2 that_CST it_PPH1 expects_VVZ to_TO post_NN1 in_II the_AT near_JJ future_NN1 ._. 
The_AT New_JJ York-based_JJ company_NN1 is_VBZ looking_VVG to_TO add_VVI Java_NP1 developers_NN2 and_CC front-end_JJ Web_NN1 designers_NN2 ,_, as_II31 well_II32 as_II33 project_NN1 managers_NN2 ,_, systems_NN2 administrators_NN2 and_CC quality_NN1 assurance_NN1 engineers_NN2 ._. 
White_JJ Oak_NN1 Technologies_NN2 Inc._JJ ,_, a_AT1 vendor_NN1 of_IO tools_NN2 for_IF searching_VVG large_JJ databases_NN2 ,_, has_VHZ been_VBN having_VHG such_DA a_AT1 hard_JJ time_NNT1 finding_VVG qualified_JJ workers_NN2 to_TO fill_VVI open_JJ positions_NN2 that_CST it_PPH1 distributed_VVD a_AT1 flyer_NN1 at_II the_AT O'Reilly_NP1 conference_NN1 offering_VVG a_AT1 $2,500_NNU bounty_NN1 to_II people_NN who_PNQS help_VV0 it_PPH1 find_VVI worthy_JJ job_NN1 candidates_NN2 ._. 
According_II21 to_II22 the_AT handout_NN1 ,_, the_AT Silver_NP1 Spring_NP1 ,_, Md._NNA -based_JJ company_NN1 is_VBZ seeking_VVG application_NN1 ,_, Web_NN1 client_NN1 and_CC systems_NN2 developers_NN2 as_II31 well_II32 as_II33 a_AT1 Linux_NN1 and_CC Unix_NN1 systems_NN2 administrator_NN1 for_IF its_APPGE data_NN center_NN1 ._. 
In_II July_NPM1 ,_, online_JJ job_NN1 placement_NN1 firm_NN1 Jobfox_NN1 Inc._JJ included_VVD six_MC IT_NN1 job_NN1 categories_NN2 on_II a_AT1 list_NN1 of_IO its_APPGE "_" top_NN1 20_MC most_RGT recession-proof_JJ professions_NN2 ._. "_" 
The_AT favored_JJ IT_NN1 disciplines_NN2 included_VVD software_NN1 design_NN1 and_CC development_NN1 ,_, networking_VVG and_CC systems_NN2 administration_NN1 ,_, software_NN1 implementation_NN1 analysis_NN1 ,_, testing_VVG and_CC quality_NN1 assurance_NN1 ,_, database_NN1 administration_NN1 and_CC senior_JJ IT_NN1 management_NN1 --_NN1 especially_RR for_IF executives_NN2 with_IW mobile_JJ and_CC Web_NN1 2.0_MC experience_NN1 ._. 
Nina_NP1 Buik_NP1 ,_, president_NN1 of_IO Connect_VV0 ,_, an_AT1 independent_JJ Hewlett-Packard_NP1 user_NN1 group_NN1 with_IW about_RG 50,000_MC members_NN2 ,_, agreed_VVD that_CST the_AT economic_JJ downturn_NN1 is_VBZ having_VHG varying_JJ effects_NN2 on_II different_JJ types_NN2 of_IO IT_NN1 workers_NN2 ._. 
For_REX21 example_REX22 ,_, Buik_NP1 sees_VVZ a_AT1 big_JJ need_NN1 for_IF workers_NN2 with_IW skills_NN2 in_II virtualization_NN1 ,_, blade_NN1 servers_NN2 ,_, security_NN1 and_CC storage_NN1 ._. 
And_CC lots_PN of_IO new_JJ IT_NN1 jobs_NN2 are_VBR being_VBG created_VVN in_II the_AT Web_NN1 2.0_MC arena_NN1 ,_, as_RG more_RGR online_JJ advertising_NN1 dollars_NNU2 go_VV0 to_II such_DA sites_NN2 and_CC mainstream_JJ companies_NN2 look_VV0 to_TO communicate_VVI with_IW their_APPGE customers_NN2 in_II new_JJ ways_NN2 ,_, Buik_NP1 said_VVD ._. 
She_PPHS1 described_VVD the_AT rush_NN1 to_TO hire_VVI workers_NN2 with_IW Web_NN1 2.0_MC skills_NN2 as_CSA "_" a_AT1 feeding_JJ frenzy_NN1 ._. "_" 
But_CCB such_DA examples_NN2 are_VBR by_RR31 no_RR32 means_RR33 universal_JJ ._. 
Andrew_NP1 Bartels_NP2 ,_, an_AT1 analyst_NN1 at_II Forrester_NP1 Research_NN1 Inc._JJ ,_, has_VHZ twice_RR lowered_VVN the_AT consulting_JJ firm_NN1 's_GE U.S._NP1 IT_NN1 spending_NN1 forecast_NN1 since_CS last_MD October_NPM1 ,_, and_CC he_PPHS1 's_VBZ now_RT working_VVG to_TO adjust_VVI it_PPH1 for_IF a_AT1 third_MD time_NNT1 ._. 
Forrester_NP1 's_GE current_JJ prediction_NN1 calls_VVZ for_IF two_MC to_II three_MC percent_NNU growth_NN1 in_II tech_NN1 spending_VVG this_DD1 year_NNT1 ,_, followed_VVN by_II an_AT1 increase_NN1 of_IO up_RG21 to_RG22 10_MC percent_NNU in_II 2009_MC ._. 
The_AT firm_NN1 's_GE current_JJ IT_NN1 staffing_NN1 outlook_NN1 is_VBZ virtually_RR flat_JJ for_IF this_DD1 year_NNT1 ,_, with_IW Bartels_NP2 projecting_VVG a_AT1 one_MC1 percent_NNU increase_NN1 in_II the_AT total_JJ number_NN1 of_IO IT_NN1 jobs_NN2 and_CC average_JJ pay_NN1 raises_VVZ of_IO three_MC to_II four_MC percent_NNU ._. 
But_CCB the_AT first_MD half_NN1 of_IO 2008_MC actually_RR appears_VVZ to_TO have_VHI been_VBN better_JJR than_CSN expected_VVN from_II an_AT1 IT_NN1 spending_NN1 standpoint_NN1 ,_, Bartels_NP2 said_VVD ._. 
That_DD1 may_VM not_XX be_VBI a_AT1 cause_NN1 for_IF celebration_NN1 ,_, though_RR ._. 
The_AT second_MD half_NN1 of_IO this_DD1 year_NNT1 as_II31 well_II32 as_II33 2009_MC are_VBR "_" looking_VVG pretty_RG bleak_JJ ,_, "_" he_PPHS1 added_VVD ,_, predicting_VVG that_CST the_AT economic_JJ problems_NN2 are_VBR "_" finally_RR going_VVGK to_TO take_VVI a_AT1 toll_NN1 on_II tech_NN1 hiring_NN1 ._. "_" 
That_DD1 said_VVD ,_, Bartels_NN2 does_VDZ see_VVI some_DD possible_JJ saving_NN1 graces_NN2 ._. 
First_MD ,_, large_JJ companies_NN2 --_NN1 especially_RR those_DD2 that_CST are_VBR outside_II21 of_II22 the_AT banking_NN1 and_CC automotive_JJ industries_NN2 ,_, and_CC that_CST have_VH0 large_JJ overseas_JJ presences_NN2 --_NN1 continue_VV0 to_TO do_VDI well_RR financially_RR ,_, he_PPHS1 said_VVD ._. 
"_" That_DD1 's_VBZ probably_RR why_RRQ we_PPIS2 're_VBR seeing_VVG solid_JJ numbers_NN2 on_II IT_NN1 employment_NN1 right_RR now_RT ,_, "_" said_VVD Bartels_NP2 ,_, noting_VVG that_DD1 small_JJ and_CC midsize_VV0 businesses_NN2 are_VBR "_" hurting_VVG big_JJ time_NNT1 "_" but_CCB do_VD0 n't_XX hire_VVI as_RG many_DA2 IT_NN1 workers_NN2 as_CSA their_APPGE larger_JJR counterparts_NN2 do_VD0 to_TO begin_VVI with_IW ._. 
And_CC historically_RR ,_, the_AT IT_NN1 industry_NN1 has_VHZ been_VBN less_RGR susceptible_JJ to_II recessions_NN2 than_CSN other_JJ markets_NN2 have_VH0 been_VBN ,_, according_II21 to_II22 Bartels_NP2 ._. 
Except_CS in_II the_AT case_NN1 of_IO the_AT dot-com_JJ bust_NN1 ,_, IT_NN1 spending_NN1 has_VHZ slowed_VVN but_CCB not_XX declined_VVN ._. 
Growth_NN1 is_VBZ slowing_VVG ,_, which_DDQ is_VBZ not_XX the_AT worst_JJT of_IO all_DB worlds_NN2 by_II any_DD means_NN ._. 
John_NP1 Challenger_NN1 ,_, president_NN1 of_IO outplacement_NN1 consulting_VVG firm_JJ Challenger_NN1 ,_, Gray_JJ &;_NULL Christmas_NNT1 Inc._JJ ,_, said_VVD he_PPHS1 's_VBZ pessimistic_JJ about_II the_AT economy_NN1 in_RR21 general_RR22 ._. 
He_PPHS1 added_VVD that_DD1 staffing_NN1 levels_NN2 tend_VV0 to_TO be_VBI less_RGR volatile_JJ in_II IT_NN1 than_CSN in_II other_JJ departments_NN2 because_CS companies_NN2 rely_VV0 so_RG heavily_RR on_II technology_NN1 to_TO run_VVI their_APPGE business_NN1 operations_NN2 ._. 
Corporate_JJ executives_NN2 may_VM cut_VVI back_RP on_II long-term_JJ projects_NN2 ,_, but_CCB they_PPHS2 ca_VM n't_XX just_RR cut_VVI out_RP IT_NN1 ._. 
